The CREST Statistics group develops research and offers student training in theoretical and applied statistics.

Statistical methods play nowadays a key role in data science, machine learning and artificial intelligence. They have reached an unprecedented level of impact in recent years. 

The group has got international recognition for contributions to various areas of statistical science including high-dimensional statistics,  machine learning,   bayesian analysis,  statistical computation and simulation, nonparametric estimation, statistical analysis of networks, functional data analysis, dimension reduction, statistical optimal transport, game theory, quantum statistics, time series, and extreme value theory.

Our faculty serve on editorial boards of top-ranked journals in statistics such as Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of the Royal Statistical Society, and on program committees of major conferences in machine learning (NeurIPS, ICML, COLT).

The Statistics group is composed of two units, one located at ENSAE (Palaiseau, Institut Polytechnique de Paris) and the other at ENSAI (Bruz). The ENSAE unit participates in the consortia Fondation Mathématique Jacques Hadamard, Hi!Paris – Paris Artificial Intelligence for Society and Business, Center for Data Science of the University Paris-Saclay. The ENSAI unit participates in the Graduate Schools DIGISPORT and CyberSchool

The faculty teach in the Master programs “Data Science” of Institut Polytechnique de Paris, the Masters “Mathématiques, vision, apprentissage” (MVA) and “Statistics and Machine Learning” of the University Paris-Saclay, and the Master “Statistics for Smart Data” of ENSAI.

Contacts

Alexandre Tsybakov (Director)

Pascale Deniau (Administrator)

Edith Verger (Administrator, CNRS)

There are no upcoming events at this time.

There are no upcoming publications at this time.



2021

  • Estimation of convex supports from noisy measurements

    Bernoulli, vol. 27, iss. 2, pp. 772-793, 2021.

    By V. E. Brunel, J. M. Klusowski, and D. Yang

    [DOI] [Bibtex]

    @ARTICLE{Brunel2021EstimationMeasurements,
    author = {Victor Emmanuel Brunel and Jason M. Klusowski and Dana Yang},
    title = {{Estimation of convex supports from noisy measurements}},
    journal = {Bernoulli},
    year = {2021},
    volume = {27},
    number = {2},
    pages = {772-793},
    doi = {10.3150/20-BEJ1229}}
  • Data-driven parameter choice for illumination artifact correction of digital images

    Ieee signal processing letters, vol. 28, pp. 155-159, 2021.

    By H. -P. Dang, M. Vimond, and S. Geffray

    [DOI] [Bibtex]

    @ARTICLE{Dang2021155,
    author={Dang, H.-P. and Vimond, M. and Geffray, S.},
    title={Data-Driven Parameter Choice for Illumination Artifact Correction of Digital Images},
    journal={IEEE Signal Processing Letters},
    year={2021},
    volume={28},
    pages={155-159},
    doi={10.1109/LSP.2020.3047333},
    art_number={9306805},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098777351&doi=10.1109%2fLSP.2020.3047333&partnerID=40&md5=6a0ed14ffddaad3dd3fe94238d247283},
    document_type={Article},
    source={Scopus},
    }
  • Expecthill estimation, extreme risk and heavy tails

    Journal of econometrics, vol. 221, iss. 1, pp. 97-117, 2021.

    By A. Daouia, S. Girard, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Daouia202197,
    author={Daouia, A. and Girard, S. and Stupfler, G.},
    title={ExpectHill estimation, extreme risk and heavy tails},
    journal={Journal of Econometrics},
    year={2021},
    volume={221},
    number={1},
    pages={97-117},
    doi={10.1016/j.jeconom.2020.02.003},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081681725&doi=10.1016%2fj.jeconom.2020.02.003&partnerID=40&md5=0b6b3e55672e030a0e8e9238377318a2},
    document_type={Article},
    source={Scopus},
    }
  • Extremile regression

    Journal of the american statistical association, , 2021.

    By A. Daouia, I. Gijbels, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Daouia2021,
    author={Daouia, A. and Gijbels, I. and Stupfler, G.},
    title={Extremile Regression},
    journal={Journal of the American Statistical Association},
    year={2021},
    doi={10.1080/01621459.2021.1875837},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102202340&doi=10.1080%2f01621459.2021.1875837&partnerID=40&md5=0905325d808967c2835722bd26c37ed5},
    document_type={Article},
    source={Scopus},
    }
  • Iterations of dependent random maps and exogeneity in nonlinear dynamics

    Econometric theory, , 2021.

    By Z. M. Debaly and L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Debaly2021,
    author={Debaly, Z.M. and Truquet, L.},
    title={Iterations of dependent random maps and exogeneity in nonlinear dynamics},
    journal={Econometric Theory},
    year={2021},
    doi={10.1017/S0266466620000559},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100584933&doi=10.1017%2fS0266466620000559&partnerID=40&md5=a28cd7086e931ad192bfb0f358fd70da},
    document_type={Article},
    source={Scopus},
    }
  • The min-characteristic function: characterizing distributions by their min-linear projections

    Sankhya a, vol. 83, iss. 1, pp. 254-282, 2021.

    By M. Falk and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Falk2021254,
    author={Falk, M. and Stupfler, G.},
    title={The Min-characteristic Function: Characterizing Distributions by Their Min-linear Projections},
    journal={Sankhya A},
    year={2021},
    volume={83},
    number={1},
    pages={254-282},
    doi={10.1007/s13171-019-00184-1},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075619972&doi=10.1007%2fs13171-019-00184-1&partnerID=40&md5=0f564a979ea1a25092d6d39ab0adcb48},
    document_type={Article},
    source={Scopus},
    }
  • Data-driven thresholding in denoising with spectral graph wavelet transform

    Journal of computational and applied mathematics, vol. 389, 2021.

    By B. de Loynes, F. Navarro, and B. Olivier

    [DOI] [Bibtex]

    @ARTICLE{deLoynes2021,
    author={de Loynes, B. and Navarro, F. and Olivier, B.},
    title={Data-driven thresholding in denoising with Spectral Graph Wavelet Transform},
    journal={Journal of Computational and Applied Mathematics},
    year={2021},
    volume={389},
    doi={10.1016/j.cam.2020.113319},
    art_number={113319},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098696939&doi=10.1016%2fj.cam.2020.113319&partnerID=40&md5=9a601579cfc0ee13fdb9bbe3120ee24d},
    document_type={Article},
    source={Scopus},
    }

2020

  • Sequential monte carlo methods in bayesian joint models for longitudinal and time-to-event data

    Statistical modelling, , 2020.

    By D. Alvares, C. Armero, A. Forte, and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Alvares2020,
    author={Alvares, D. and Armero, C. and Forte, A. and Chopin, N.},
    title={Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data},
    journal={Statistical Modelling},
    year={2020},
    doi={10.1177/1471082X20916088},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085026214&doi=10.1177%2f1471082X20916088&partnerID=40&md5=d22dec4bef172f2f3e76ea7d2655b5a3},
    document_type={Article},
    source={Scopus},
    }
  • Confidence regions and minimax rates in outlier-robust estimation on the probability simplex

    Electronic journal of statistics, vol. 14, iss. 2, pp. 2653-2677, 2020.

    By A. -H. Bateni and A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Bateni20202653,
    author={Bateni, A.-H. and Dalalyan, A.S.},
    title={Confidence regions and minimax rates in outlier-robust estimation on the probability simplex},
    journal={Electronic Journal of Statistics},
    year={2020},
    volume={14},
    number={2},
    pages={2653-2677},
    doi={10.1214/20-EJS1731},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088169633&doi=10.1214%2f20-EJS1731&partnerID=40&md5=fe9fb9cd08e5148bae142ae99b9217bd},
    document_type={Article},
    source={Scopus},
    }
  • Interobserver agreement issues in radiology

    Diagnostic and interventional imaging, vol. 101, iss. 10, pp. 639-641, 2020.

    By M. Benchoufi, E. Matzner-Lober, N. Molinari, A. -S. Jannot, and P. Soyer

    [DOI] [Bibtex]

    @ARTICLE{Benchoufi2020639,
    author={Benchoufi, M. and Matzner-Lober, E. and Molinari, N. and Jannot, A.-S. and Soyer, P.},
    title={Interobserver agreement issues in radiology},
    journal={Diagnostic and Interventional Imaging},
    year={2020},
    volume={101},
    number={10},
    pages={639-641},
    doi={10.1016/j.diii.2020.09.001},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091058192&doi=10.1016%2fj.diii.2020.09.001&partnerID=40&md5=96fd42ad8c18c8031a3f741d458fe8c2},
    document_type={Article},
    source={Scopus},
    }
  • Prediction of tumor grade and lymphovascular space invasion in endometrial adenocarcinoma with mr imaging-based radiomic analysis

    Diagnostic and interventional imaging, vol. 101, iss. 6, pp. 401-411, 2020.

    By M. Bereby-Kahane, R. Dautry, E. Matzner-Lober, F. Cornelis, D. Sebbag-Sfez, V. Place, M. Mezzadri, P. Soyer, and A. Dohan

    [DOI] [Bibtex]

    @ARTICLE{Bereby-Kahane2020401,
    author={Bereby-Kahane, M. and Dautry, R. and Matzner-Lober, E. and Cornelis, F. and Sebbag-Sfez, D. and Place, V. and Mezzadri, M. and Soyer, P. and Dohan, A.},
    title={Prediction of tumor grade and lymphovascular space invasion in endometrial adenocarcinoma with MR imaging-based radiomic analysis},
    journal={Diagnostic and Interventional Imaging},
    year={2020},
    volume={101},
    number={6},
    pages={401-411},
    doi={10.1016/j.diii.2020.01.003},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078978252&doi=10.1016%2fj.diii.2020.01.003&partnerID=40&md5=971ed7bdc064d3ef54ccc078cc63f6ce},
    document_type={Article},
    source={Scopus},
    }
  • Ill-posed estimation in high-dimensional models with instrumental variables

    Journal of econometrics, vol. 219, iss. 1, pp. 171-200, 2020.

    By C. Breunig, E. Mammen, and A. Simoni

    [DOI] [Bibtex]

    @ARTICLE{Breunig2020171,
    author={Breunig, C. and Mammen, E. and Simoni, A.},
    title={Ill-posed estimation in high-dimensional models with instrumental variables},
    journal={Journal of Econometrics},
    year={2020},
    volume={219},
    number={1},
    pages={171-200},
    doi={10.1016/j.jeconom.2020.04.043},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089256045&doi=10.1016%2fj.jeconom.2020.04.043&partnerID=40&md5=a9717e8ba0cad53354e439a51428845d},
    document_type={Article},
    source={Scopus},
    }
  • A computational approach for detecting micro-domains and confinement domains in cells: a simulation study

    Physical biology, vol. 17, iss. 2, 2020.

    By V. Briane, A. Salomon, M. Vimond, and C. Kervrann

    [DOI] [Bibtex]

    @ARTICLE{Briane2020,
    author={Briane, V. and Salomon, A. and Vimond, M. and Kervrann, C.},
    title={A computational approach for detecting micro-domains and confinement domains in cells: A simulation study},
    journal={Physical Biology},
    year={2020},
    volume={17},
    number={2},
    doi={10.1088/1478-3975/ab5e1d},
    art_number={025002},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079344581&doi=10.1088%2f1478-3975%2fab5e1d&partnerID=40&md5=88ef191c65d60f6df077ce0d12a01bf1},
    document_type={Article},
    source={Scopus},
    }
  • A sequential algorithm to detect diffusion switching along intracellular particle trajectories

    Bioinformatics, vol. 36, iss. 1, pp. 317-329, 2020.

    By V. Briane, M. Vimond, C. A. Valades-Cruz, A. Salomon, C. Wunder, and C. Kervrann

    [DOI] [Bibtex]

    @ARTICLE{Briane2020317,
    author={Briane, V. and Vimond, M. and Valades-Cruz, C.A. and Salomon, A. and Wunder, C. and Kervrann, C.},
    title={A sequential algorithm to detect diffusion switching along intracellular particle trajectories},
    journal={Bioinformatics},
    year={2020},
    volume={36},
    number={1},
    pages={317-329},
    doi={10.1093/bioinformatics/btz489},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077791629&doi=10.1093%2fbioinformatics%2fbtz489&partnerID=40&md5=e0496f471825f4c04615233d99759cb3},
    document_type={Article},
    source={Scopus},
    }
  • Deviation inequalities for random polytopes in arbitrary convex bodies

    Bernoulli, vol. 26, iss. 4, pp. 2488-2502, 2020.

    By V. -E. Brunel

    [DOI] [Bibtex]

    @ARTICLE{Brunel20202488,
    author={Brunel, V.-E.},
    title={Deviation inequalities for random polytopes in arbitrary convex bodies},
    journal={Bernoulli},
    year={2020},
    volume={26},
    number={4},
    pages={2488-2502},
    doi={10.3150/19-BEJ1164},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091233993&doi=10.3150%2f19-BEJ1164&partnerID=40&md5=c9dc7590cf19496195bbcae76cd194f1},
    document_type={Article},
    source={Scopus},
    }
  • A likelihood-based approach for cure regression models

    Test, , 2020.

    By K. Burke and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Burke2020,
    author={Burke, K. and Patilea, V.},
    title={A likelihood-based approach for cure regression models},
    journal={Test},
    year={2020},
    doi={10.1007/s11749-020-00738-8},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096443392&doi=10.1007%2fs11749-020-00738-8&partnerID=40&md5=543ff14ba033b74baed0e6a8b6737788},
    document_type={Article},
    source={Scopus},
    }
  • Local differential privacy: elbow effect in optimal density estimation and adaptation over besov ellipsoids

    Bernoulli, vol. 26, iss. 3, pp. 1727-1764, 2020.

    By C. Butucea, A. Dubois, M. Kroll, and A. Saumard

    [DOI] [Bibtex]

    @ARTICLE{Butucea20201727,
    author={Butucea, C. and Dubois, A. and Kroll, M. and Saumard, A.},
    title={Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids},
    journal={Bernoulli},
    year={2020},
    volume={26},
    number={3},
    pages={1727-1764},
    doi={10.3150/19-BEJ1165},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091187918&doi=10.3150%2f19-BEJ1165&partnerID=40&md5=a553a71ab70c97f6dfa365d2aa4af54b},
    document_type={Article},
    source={Scopus},
    }
  • Mixture of hidden markov models for accelerometer data

    Annals of applied statistics, vol. 14, iss. 4, pp. 1834-1855, 2020.

    By M. R. de Chaumaray, M. Marbac, and F. Navarro

    [DOI] [Bibtex]

    @ARTICLE{deChaumaray20201834,
    author={de Chaumaray, M.R. and Marbac, M. and Navarro, F.},
    title={Mixture of Hidden Markov models for accelerometer data},
    journal={Annals of Applied Statistics},
    year={2020},
    volume={14},
    number={4},
    pages={1834-1855},
    doi={10.1214/20-AOAS1375},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098132964&doi=10.1214%2f20-AOAS1375&partnerID=40&md5=356efd7143b6d8a3c5599df7e3af717a},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric estimation in a regression model with additive and multiplicative noise

    Journal of computational and applied mathematics, vol. 380, 2020.

    By C. Chesneau, S. El Kolei, J. Kou, and F. Navarro

    [DOI] [Bibtex]

    @ARTICLE{Chesneau2020,
    author={Chesneau, C. and El Kolei, S. and Kou, J. and Navarro, F.},
    title={Nonparametric estimation in a regression model with additive and multiplicative noise},
    journal={Journal of Computational and Applied Mathematics},
    year={2020},
    volume={380},
    doi={10.1016/j.cam.2020.112971},
    art_number={112971},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084834296&doi=10.1016%2fj.cam.2020.112971&partnerID=40&md5=cc96326b7a29229bbd0a186ab779cc4a},
    document_type={Article},
    source={Scopus},
    }
  • Robust statistical learning with lipschitz and convex loss functions

    Probability theory and related fields, vol. 176, iss. 3-4, pp. 897-940, 2020.

    By G. Chinot, G. Lecue, and M. Lerasle

    [DOI] [Bibtex]

    @ARTICLE{Chinot2020897,
    author={Chinot, G. and Lecue, G. and Lerasle, M.},
    title={Robust statistical learning with Lipschitz and convex loss functions},
    journal={Probability Theory and Related Fields},
    year={2020},
    volume={176},
    number={3-4},
    pages={897-940},
    doi={10.1007/s00440-019-00931-3},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068777138&doi=10.1007%2fs00440-019-00931-3&partnerID=40&md5=a404db50db2f5f41de812154bc075ec5},
    document_type={Article},
    source={Scopus},
    }
  • An introduction to sequential monte carlo

    , 2020.

    By N. Chopin and O. Papaspiliopoulos

    [DOI] [Bibtex]

    @BOOK{Chopin_2020,
    doi = {10.1007/978-3-030-47845-2},
    url = {https://doi.org/10.1007%2F978-3-030-47845-2},
    year = 2020,
    publisher = {Springer International Publishing},
    author = {Nicolas Chopin and Omiros Papaspiliopoulos},
    title = {An Introduction to Sequential Monte Carlo}
    }
  • On estimation of nonsmooth functionals of sparse normal means

    Bernoulli, vol. 26, iss. 3, pp. 1989-2020, 2020.

    By O. Collier, L. Comminges, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Collier20201989,
    author={Collier, O. and Comminges, L. and Tsybakov, A.B.},
    title={On estimation of nonsmooth functionals of sparse normal means},
    journal={Bernoulli},
    year={2020},
    volume={26},
    number={3},
    pages={1989-2020},
    doi={10.3150/19-BEJ1180},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091139630&doi=10.3150%2f19-BEJ1180&partnerID=40&md5=f55115f95e7e0a5f5019d7f0e5818c0a},
    document_type={Article},
    source={Scopus},
    }
  • On sampling from a log-concave density using kinetic langevin diffusions

    Bernoulli, vol. 26, iss. 3, pp. 1956-1988, 2020.

    By A. S. Dalalyan and L. Riou-Durand

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan20201956,
    author={Dalalyan, A.S. and Riou-Durand, L.},
    title={On sampling from a log-concave density using kinetic Langevin diffusions},
    journal={Bernoulli},
    year={2020},
    volume={26},
    number={3},
    pages={1956-1988},
    doi={10.3150/19-BEJ1178},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091155335&doi=10.3150%2f19-BEJ1178&partnerID=40&md5=170cd248a1b45eb650ce382d250f1ca2},
    document_type={Article},
    source={Scopus},
    }
  • Exponential weights in multivariate regression and a low-rankness favoring prior

    Annales de l’institut henri poincare (b) probability and statistics, vol. 56, iss. 2, pp. 1465-1483, 2020.

    By A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan20201465,
    author={Dalalyan, A.S.},
    title={Exponential weights in multivariate regression and a low-rankness favoring prior},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2020},
    volume={56},
    number={2},
    pages={1465-1483},
    doi={10.1214/19-AIHP1010},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082518536&doi=10.1214%2f19-AIHP1010&partnerID=40&md5=88723744a0472d1726f079dbaf4c47ea},
    document_type={Article},
    source={Scopus},
    }
  • Tail expectile process and risk assessment

    Bernoulli, vol. 26, iss. 1, pp. 531-556, 2020.

    By A. Daouia, S. Girard, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Daouia2020531,
    author={Daouia, A. and Girard, S. and Stupfler, G.},
    title={Tail expectile process and risk assessment},
    journal={Bernoulli},
    year={2020},
    volume={26},
    number={1},
    pages={531-556},
    doi={10.3150/19-BEJ1137},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076542821&doi=10.3150%2f19-BEJ1137&partnerID=40&md5=6508a1a0a55dc4734af615f8eb122895},
    document_type={Article},
    source={Scopus},
    }
  • Consistency of plug-in confidence sets for classification in semi-supervised learning

    Journal of nonparametric statistics, vol. 32, iss. 1, pp. 42-72, 2020.

    By C. Denis and M. Hebiri

    [DOI] [Bibtex]

    @ARTICLE{Denis202042,
    author={Denis, C. and Hebiri, M.},
    title={Consistency of plug-in confidence sets for classification in semi-supervised learning},
    journal={Journal of Nonparametric Statistics},
    year={2020},
    volume={32},
    number={1},
    pages={42-72},
    doi={10.1080/10485252.2019.1689241},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075158366&doi=10.1080%2f10485252.2019.1689241&partnerID=40&md5=fb86a4da6ba2fa27b82e9cb01f7104b7},
    document_type={Article},
    source={Scopus},
    }
  • Imprecise neural computations as a source of adaptive behaviour in volatile environments

    Nature human behaviour, , 2020.

    By C. Findling, N. Chopin, and E. Koechlin

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    @ARTICLE{Findling2020,
    author={Findling, C. and Chopin, N. and Koechlin, E.},
    title={Imprecise neural computations as a source of adaptive behaviour in volatile environments},
    journal={Nature Human Behaviour},
    year={2020},
    doi={10.1038/s41562-020-00971-z},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095694929&doi=10.1038%2fs41562-020-00971-z&partnerID=40&md5=66d58c29446c84f9bee20987faa46dd3},
    document_type={Article},
    source={Scopus},
    }
  • Beyond tail median and conditional tail expectation: extreme risk estimation using tail lp-optimization

    Scandinavian journal of statistics, vol. 47, iss. 3, pp. 922-949, 2020.

    By L. Gardes, S. Girard, and G. Stupfler

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    @ARTICLE{Gardes2020922,
    author={Gardes, L. and Girard, S. and Stupfler, G.},
    title={Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp-optimization},
    journal={Scandinavian Journal of Statistics},
    year={2020},
    volume={47},
    number={3},
    pages={922-949},
    doi={10.1111/sjos.12433},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076749586&doi=10.1111%2fsjos.12433&partnerID=40&md5=be5fc9b47bd2f8c93820fec0d2b8a217},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric extreme conditional expectile estimation

    Scandinavian journal of statistics, , 2020.

    By S. Girard, G. Stupfler, and A. Usseglio-Carleve

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    @ARTICLE{Girard2020,
    author={Girard, S. and Stupfler, G. and Usseglio-Carleve, A.},
    title={Nonparametric extreme conditional expectile estimation},
    journal={Scandinavian Journal of Statistics},
    year={2020},
    doi={10.1111/sjos.12502},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097404705&doi=10.1111%2fsjos.12502&partnerID=40&md5=b3e4b63a28ffa31a38964acfc3ea99af},
    document_type={Article},
    source={Scopus},
    }
  • Ground metric learning on graphs

    Journal of mathematical imaging and vision, , 2020.

    By M. Heitz, N. Bonneel, D. Coeurjolly, M. Cuturi, and G. Peyre

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    @ARTICLE{Heitz2020,
    author={Heitz, M. and Bonneel, N. and Coeurjolly, D. and Cuturi, M. and Peyre, G.},
    title={Ground Metric Learning on Graphs},
    journal={Journal of Mathematical Imaging and Vision},
    year={2020},
    doi={10.1007/s10851-020-00996-z},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094860217&doi=10.1007%2fs10851-020-00996-z&partnerID=40&md5=18f8657897d0dc7bbf363c502e90eea9},
    document_type={Article},
    source={Scopus},
    }
  • Equivalent models for observables under the assumption of missing at random

    Econometrics and statistics, , 2020.

    By M. Hristache and V. Patilea

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    @ARTICLE{Hristache2020,
    author={Hristache, M. and Patilea, V.},
    title={Equivalent models for observables under the assumption of missing at random},
    journal={Econometrics and Statistics},
    year={2020},
    doi={10.1016/j.ecosta.2020.03.002},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086123300&doi=10.1016%2fj.ecosta.2020.03.002&partnerID=40&md5=bf2ce1255d18a5f8bdbbf434af90cd21},
    document_type={Article},
    source={Scopus},
    }
  • Multi-subject meg/eeg source imaging with sparse multi-task regression

    Neuroimage, vol. 220, 2020.

    By H. Janati, T. Bazeille, B. Thirion, M. Cuturi, and A. Gramfort

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    @ARTICLE{Janati2020,
    author={Janati, H. and Bazeille, T. and Thirion, B. and Cuturi, M. and Gramfort, A.},
    title={Multi-subject MEG/EEG source imaging with sparse multi-task regression},
    journal={NeuroImage},
    year={2020},
    volume={220},
    doi={10.1016/j.neuroimage.2020.116847},
    art_number={116847},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088874247&doi=10.1016%2fj.neuroimage.2020.116847&partnerID=40&md5=d939ff0574dd2a859ae9542563eb8d4d},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive bayesian estimation in indirect gaussian sequence space models

    Annals of economics and statistics, , iss. 137, pp. 83-116, 2020.

    By J. Johannes, A. Simoni, and R. Schenk

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    @ARTICLE{Johannes202083,
    author={Johannes, J. and Simoni, A. and Schenk, R.},
    title={Adaptive bayesian estimation in indirect gaussian sequence space models},
    journal={Annals of Economics and Statistics},
    year={2020},
    number={137},
    pages={83-116},
    doi={10.15609/ANNAECONSTAT2009.137.0083},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085497022&doi=10.15609%2fANNAECONSTAT2009.137.0083&partnerID=40&md5=1bbdbed3f937a9153c857950e047eb30},
    document_type={Article},
    source={Scopus},
    }
  • Feasibility of type 3 polygraphy for evaluating leak determinants in cpap-treated osa patients: a step toward personalized leak management

    Chest, vol. 158, iss. 5, pp. 2165-2171, 2020.

    By M. Lebret, D. Jaffuel, C. M. Suehs, J. -P. Mallet, L. Lambert, M. -C. Rotty, J. -L. Pepin, E. Matzner-Lober, N. Molinari, and J. -C. Borel

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    @ARTICLE{Lebret20202165,
    author={Lebret, M. and Jaffuel, D. and Suehs, C.M. and Mallet, J.-P. and Lambert, L. and Rotty, M.-C. and Pepin, J.-L. and Matzner-Lober, E. and Molinari, N. and Borel, J.-C.},
    title={Feasibility of Type 3 Polygraphy for Evaluating Leak Determinants in CPAP-Treated OSA Patients: A Step Toward Personalized Leak Management},
    journal={Chest},
    year={2020},
    volume={158},
    number={5},
    pages={2165-2171},
    doi={10.1016/j.chest.2020.05.593},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093966743&doi=10.1016%2fj.chest.2020.05.593&partnerID=40&md5=e41150dbe62d9e58db9229576a085b2a},
    document_type={Article},
    source={Scopus},
    }
  • Correction to: robust classification via mom minimization (machine learning, (2020), 109, 8, (1635-1665), 10.1007/s10994-019-05863-6)

    Machine learning, vol. 109, iss. 8, p. 1667, 2020.

    By G. Lecue, M. Lerasle, and T. Mathieu

    [DOI] [Bibtex]

    @ARTICLE{Lecue20201667,
    author={Lecue, G. and Lerasle, M. and Mathieu, T.},
    title={Correction to: Robust classification via MOM minimization (Machine Learning, (2020), 109, 8, (1635-1665), 10.1007/s10994-019-05863-6)},
    journal={Machine Learning},
    year={2020},
    volume={109},
    number={8},
    pages={1667},
    doi={10.1007/s10994-020-05885-5},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086040466&doi=10.1007%2fs10994-020-05885-5&partnerID=40&md5=58f7c72df183dc7f334d256c519d6724},
    document_type={Erratum},
    source={Scopus},
    }
  • Robust classification via mom minimization

    Machine learning, vol. 109, iss. 8, pp. 1635-1665, 2020.

    By G. Lecue, M. Lerasle, and T. Mathieu

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    @ARTICLE{Lecue20201635,
    author={Lecue, G. and Lerasle, M. and Mathieu, T.},
    title={Robust classification via MOM minimization},
    journal={Machine Learning},
    year={2020},
    volume={109},
    number={8},
    pages={1635-1665},
    doi={10.1007/s10994-019-05863-6},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084219419&doi=10.1007%2fs10994-019-05863-6&partnerID=40&md5=1937702a4df26d81545bbe6a650df72f},
    document_type={Article},
    source={Scopus},
    }
  • Robust machine learning by median-of-means: theory and practice

    Annals of statistics, vol. 48, iss. 2, pp. 906-931, 2020.

    By G. Lecue and M. Lerasle

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    @ARTICLE{Lecue2020906,
    author={Lecue, G. and Lerasle, M.},
    title={Robust machine learning by median-of-means: Theory and practice},
    journal={Annals of Statistics},
    year={2020},
    volume={48},
    number={2},
    pages={906-931},
    doi={10.1214/19-AOS1828},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089583377&doi=10.1214%2f19-AOS1828&partnerID=40&md5=01a3c3fa11d53e6469929e11f16fa973},
    document_type={Article},
    source={Scopus},
    }
  • Testing for the significance of functional covariates

    Journal of multivariate analysis, vol. 179, 2020.

    By S. Maistre and V. Patilea

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    @ARTICLE{Maistre2020,
    author={Maistre, S. and Patilea, V.},
    title={Testing for the significance of functional covariates},
    journal={Journal of Multivariate Analysis},
    year={2020},
    volume={179},
    doi={10.1016/j.jmva.2020.104648},
    art_number={104648},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086336737&doi=10.1016%2fj.jmva.2020.104648&partnerID=40&md5=ada99fa36520e818cb865732bb5067f8},
    document_type={Article},
    source={Scopus},
    }
  • Depth for curve data and applications

    Journal of the american statistical association, , 2020.

    By P. L. de Micheaux, P. Mozharovskyi, and M. Vimond

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    @ARTICLE{deMicheaux2020,
    author={de Micheaux, P.L. and Mozharovskyi, P. and Vimond, M.},
    title={Depth for Curve Data and Applications},
    journal={Journal of the American Statistical Association},
    year={2020},
    doi={10.1080/01621459.2020.1745815},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083838018&doi=10.1080%2f01621459.2020.1745815&partnerID=40&md5=166934788fb39556bb6dd17a6600a74f},
    document_type={Article},
    source={Scopus},
    }
  • Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice

    Royal society open science, vol. 7, iss. 4, 2020.

    By E. G. Mitchell, N. M. J. Crout, P. Wilson, A. T. A. Wood, and G. Stupfler

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    @ARTICLE{Mitchell2020,
    author={Mitchell, E.G. and Crout, N.M.J. and Wilson, P. and Wood, A.T.A. and Stupfler, G.},
    title={Operating at the extreme: Estimating the upper yield boundary of winter wheat production in commercial practice},
    journal={Royal Society Open Science},
    year={2020},
    volume={7},
    number={4},
    doi={10.1098/rsos.191919},
    art_number={191919},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084831534&doi=10.1098%2frsos.191919&partnerID=40&md5=40361a9b7bc92f6662f0d3740636cd65},
    document_type={Article},
    source={Scopus},
    }
  • Bayesian midas penalized regressions: estimation, selection, and prediction

    Journal of econometrics, , 2020.

    By M. Mogliani and A. Simoni

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    @ARTICLE{Mogliani2020,
    author={Mogliani, M. and Simoni, A.},
    title={Bayesian MIDAS penalized regressions: Estimation, selection, and prediction},
    journal={Journal of Econometrics},
    year={2020},
    doi={10.1016/j.jeconom.2020.07.022},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089457836&doi=10.1016%2fj.jeconom.2020.07.022&partnerID=40&md5=a98b0f3a7bb20af6b2bcfa0b059b02f0},
    document_type={Article},
    source={Scopus},
    }
  • Optimal variable selection and adaptive noisy compressed sensing

    Ieee transactions on information theory, vol. 66, iss. 4, pp. 2517-2532, 2020.

    By M. Ndaoud and A. B. Tsybakov

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    @ARTICLE{Ndaoud20202517,
    author={Ndaoud, M. and Tsybakov, A.B.},
    title={Optimal variable selection and adaptive noisy compressed sensing},
    journal={IEEE Transactions on Information Theory},
    year={2020},
    volume={66},
    number={4},
    pages={2517-2532},
    doi={10.1109/TIT.2020.2965738},
    art_number={8955982},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082398767&doi=10.1109%2fTIT.2020.2965738&partnerID=40&md5=bc15fcf61b4397f753eef2e54bfcbfed},
    document_type={Article},
    source={Scopus},
    }
  • Testing for lack-of-fit in functional regression models against general alternatives

    Journal of statistical planning and inference, vol. 209, pp. 229-251, 2020.

    By V. Patilea and C. Sánchez-Sellero

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    @ARTICLE{Patilea2020229,
    author={Patilea, V. and Sánchez-Sellero, C.},
    title={Testing for lack-of-fit in functional regression models against general alternatives},
    journal={Journal of Statistical Planning and Inference},
    year={2020},
    volume={209},
    pages={229-251},
    doi={10.1016/j.jspi.2020.04.002},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083459134&doi=10.1016%2fj.jspi.2020.04.002&partnerID=40&md5=e6f93a06979d5a6fada4c8f23cc931cb},
    document_type={Article},
    source={Scopus},
    }
  • A general approach for cure models in survival analysis

    Annals of statistics, vol. 48, iss. 4, pp. 2323-2346, 2020.

    By V. Patilea and I. van Keilegom

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    @ARTICLE{Patilea20202323,
    author={Patilea, V. and van Keilegom, I.},
    title={A general approach for cure models in survival analysis},
    journal={Annals of Statistics},
    year={2020},
    volume={48},
    number={4},
    pages={2323-2346},
    doi={10.1214/19-AOS1889},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090445006&doi=10.1214%2f19-AOS1889&partnerID=40&md5=386a38413d3764c18b6495d7c99d1d3d},
    document_type={Article},
    source={Scopus},
    }
  • A nonasymptotic law of iterated logarithm for general m-estimators

    vol. 108, p. 1331–1341, 2020.

    By N. Schreuder, V. Brunel, and A. Dalalyan

    [Bibtex]

    @ARTICLE{pmlr-v108-dalalyan20a,
    title = {A nonasymptotic law of iterated logarithm for general M-estimators},
    author = {Schreuder, Nicolas and Brunel, Victor-Emmanuel and Dalalyan, Arnak},
    booktitle = {Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics},
    pages = {1331--1341},
    year = {2020},
    editor = {Silvia Chiappa and Roberto Calandra},
    volume = {108},
    series = {Proceedings of Machine Learning Research},
    month = {26--28 Aug},
    publisher = {PMLR},
    pdf = {http://proceedings.mlr.press/v108/dalalyan20a/dalalyan20a.pdf},
    url = {http://proceedings.mlr.press/v108/dalalyan20a.html},
    }
  • Coupling and perturbation techniques for categorical time series

    Bernoulli, vol. 26, iss. 4, pp. 3249-3279, 2020.

    By L. Truquet

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    @ARTICLE{Truquet20203249,
    author={Truquet, L.},
    title={Coupling and perturbation techniques for categorical time series},
    journal={Bernoulli},
    year={2020},
    volume={26},
    number={4},
    pages={3249-3279},
    doi={10.3150/20-BEJ1225},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091224770&doi=10.3150%2f20-BEJ1225&partnerID=40&md5=13d93c67274654e84381a33e52be9e20},
    document_type={Article},
    source={Scopus},
    }

2019

  • A model for predicting wine quality in a rhône valley vineyard

    Agronomy journal, vol. 111, iss. 2, pp. 545-554, 2019.

    By P. Abbal, J. -M. Sablayrolles, E. Matzner-Lober, and A. Carbonneau

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    @ARTICLE{Abbal2019545,
    author={Abbal, P. and Sablayrolles, J.-M. and Matzner-Lober, E. and Carbonneau, A.},
    title={A model for predicting wine quality in a rhône valley vineyard},
    journal={Agronomy Journal},
    year={2019},
    volume={111},
    number={2},
    pages={545-554},
    doi={10.2134/agronj2018.04.0269},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065303659&doi=10.2134%2fagronj2018.04.0269&partnerID=40&md5=d88b48c89d2969a748c3e5853d19df5e},
    document_type={Article},
    source={Scopus},
    }
  • Estimation bounds and sharp oracle inequalities of regularized procedures with lipschitz loss functions

    Annals of statistics, vol. 47, iss. 4, pp. 2117-2144, 2019.

    By P. Alquier, V. Cottet, and G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Alquier20192117,
    author={Alquier, P. and Cottet, V. and Lecue, G.},
    title={Estimation bounds and sharp oracle inequalities of regularized procedures with lipschitz loss functions},
    journal={Annals of Statistics},
    year={2019},
    volume={47},
    number={4},
    pages={2117-2144},
    doi={10.1214/18-AOS1742},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072240906&doi=10.1214%2f18-AOS1742&partnerID=40&md5=48f4770031923bf74ac8ac37efebe49f},
    document_type={Article},
    source={Scopus},
    }
  • Best arm identification for contaminated bandits

    Journal of machine learning research, vol. 20, iss. None, p. -, 2019.

    By J. Altschuler, V. E. Brunel, and A. Malek

    [Bibtex]

    @ARTICLE{Altschuler2019BestBandits,
    author = {Jason Altschuler and Victor Emmanuel Brunel and Alan Malek},
    title = {{Best arm identification for contaminated bandits}},
    journal = {Journal of Machine Learning Research},
    year = {2019},
    volume = {20},
    number = {None},
    pages = {-}}
  • Best arm identification for contaminated bandits

    Journal of machine learning research, vol. 20, 2019.

    By J. Altschuler, V. -E. Brunel, and A. Malek

    [Bibtex]

    @ARTICLE{Altschuler2019,
    author={Altschuler, J. and Brunel, V.-E. and Malek, A.},
    title={Best arm identification for contaminated bandits},
    journal={Journal of Machine Learning Research},
    year={2019},
    volume={20},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072600530&partnerID=40&md5=6002359eca5b5aaaae24125c0c1230d5},
    document_type={Article},
    source={Scopus},
    }
  • Information geometry for regularized optimal transport and barycenters of patterns

    Neural computation, vol. 31, iss. 5, pp. 827-848, 2019.

    By S. -I. Amari, R. Karakida, M. Oizumi, and M. Cuturi

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    @ARTICLE{Amari2019827,
    author={Amari, S.-I. and Karakida, R. and Oizumi, M. and Cuturi, M.},
    title={Information geometry for regularized optimal transport and barycenters of patterns},
    journal={Neural Computation},
    year={2019},
    volume={31},
    number={5},
    pages={827-848},
    doi={10.1162/neco_a_01178},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064431208&doi=10.1162%2fneco_a_01178&partnerID=40&md5=f8d80051ffc0e746208a5fe4a39ab5cb},
    document_type={Article},
    source={Scopus},
    }
  • Sparse covariance matrix estimation in high-dimensional deconvolution

    Bernoulli, vol. 25, iss. 3, pp. 1901-1938, 2019.

    By D. Belomestny, M. Trabs, and A. B. Tsybakov

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    @ARTICLE{Belomestny20191901,
    author={Belomestny, D. and Trabs, M. and Tsybakov, A.B.},
    title={Sparse covariance matrix estimation in high-dimensional deconvolution},
    journal={Bernoulli},
    year={2019},
    volume={25},
    number={3},
    pages={1901-1938},
    doi={10.3150/18-BEJ1040A},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069733380&doi=10.3150%2f18-BEJ1040A&partnerID=40&md5=10a3cdf8fc0bd15c48ca8edc638a9f0e},
    document_type={Article},
    source={Scopus},
    }
  • An overview of diffusion models for intracellular dynamics analysis

    Briefings in bioinformatics, vol. 21, iss. 4, pp. 1136-1150, 2019.

    By V. Briane, M. Vimond, and C. Kervrann

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    @ARTICLE{Briane20191136,
    author={Briane, V. and Vimond, M. and Kervrann, C.},
    title={An overview of diffusion models for intracellular dynamics analysis},
    journal={Briefings in Bioinformatics},
    year={2019},
    volume={21},
    number={4},
    pages={1136-1150},
    doi={10.1093/bib/bbz052},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082753657&doi=10.1093%2fbib%2fbbz052&partnerID=40&md5=9568fb73f00d3099378e36712b63cf00},
    document_type={Review},
    source={Scopus},
    }
  • Concentration of the empirical level sets of tukey’s halfspace depth

    Probability theory and related fields, vol. 173, iss. 3-4, pp. 1165-1196, 2019.

    By V. -E. Brunel

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    @ARTICLE{Brunel20191165,
    author={Brunel, V.-E.},
    title={Concentration of the empirical level sets of Tukey’s halfspace depth},
    journal={Probability Theory and Related Fields},
    year={2019},
    volume={173},
    number={3-4},
    pages={1165-1196},
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    note={cited By 3},
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    @ARTICLE{Brunel20191770,
    author={Brunel, V.-E.},
    title={Uniform behaviors of random polytopes under the Hausdorff metric},
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    year={2019},
    volume={25},
    number={3},
    pages={1770-1793},
    doi={10.3150/18-BEJ1035},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069734417&doi=10.3150%2f18-BEJ1035&partnerID=40&md5=2d307405c35934993946c9934b7a60f0},
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    author={Buchholz, A. and Chopin, N.},
    title={Improving Approximate Bayesian Computation via Quasi-Monte Carlo},
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    year={2019},
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    doi={10.1080/10618600.2018.1497511},
    note={cited By 2},
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    @ARTICLE{Carpentier20191817,
    author={Carpentier, A. and Collier, O. and Comminges, L. and Tsybakov, A.B. and Wang, Y.},
    title={Minimax Rate of Testing in Sparse Linear Regression},
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    year={2019},
    volume={80},
    number={10},
    pages={1817-1834},
    doi={10.1134/S0005117919100047},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073621680&doi=10.1134%2fS0005117919100047&partnerID=40&md5=81b5e0faa8b3640a6797637dd50dc06e},
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    author={Chesneau, C. and Navarro, F.},
    title={On some applicable approximations of gaussian type integrals},
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    note={cited By 0},
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    @ARTICLE{Church2019685,
    author={Church, O. and Derclaye, E. and Stupfler, G.},
    title={An Empirical Analysis of the Design Case Law of the EU Member States},
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    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064662585&doi=10.1007%2fs40319-019-00813-0&partnerID=40&md5=0f0975bf2a159866e4ef160767d11e08},
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    @ARTICLE{Chzhen20193175,
    author={Chzhen, E. and Hebiri, M. and Salmon, J.},
    title={On Lasso refitting strategies},
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    title={Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean},
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    author={Dalalyan, A.S. and Karagulyan, A.},
    title={User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient},
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    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062981328&doi=10.1016%2fj.spa.2019.02.016&partnerID=40&md5=ec48fdd466f9029a7bd9b2e7af8d979c},
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    author={Daouia, A. and Gijbels, I. and Stupfler, G.},
    title={Extremiles: A New Perspective on Asymmetric Least Squares},
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    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055675447&doi=10.1080%2f01621459.2018.1498348&partnerID=40&md5=a83f32e0c94313ea581bf5be489f8cbc},
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    author={Daouia, A. and Girard, S. and Stupfler, G.},
    title={Extreme M-quantiles as risk measures: From L1 to Lp optimization},
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    author={Fokianos, K. and Truquet, L.},
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    @ARTICLE{Gardes2019AnQuantiles,
    author = {Laurent Gardes and Gilles Stupfler},
    title = {{An integrated functional weissman estimator for conditional extreme quantiles}},
    journal = {Revstat Statistical Journal},
    year = {2019},
    volume = {17},
    number = {1},
    pages = {109-144}}
  • An integrated functional weissman estimator for conditional extreme quantiles

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    @ARTICLE{Gardes2019109,
    author={Gardes, L. and Stupfler, G.},
    title={An integrated functional weissman estimator for conditional extreme quantiles},
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    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065474497&partnerID=40&md5=b464505599e29fe586b0d8979c6c4a96},
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    @ARTICLE{Jarboui201970,
    author={Jarboui, F. and Gruson-Daniel, C. and Durmus, A. and Rocchisani, V. and Goulet Ebongue, S.-H. and Depoux, A. and Kirschenmann, W. and Perchet, V.},
    title={Markov decision process for MOOC users behavioral inference},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2019},
    volume={11475 LNCS},
    pages={70-80},
    doi={10.1007/978-3-030-19875-6_9},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065913448&doi=10.1007%2f978-3-030-19875-6_9&partnerID=40&md5=7ae40be25ba5d08eccaa70a6bebf151e},
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    author={Klopp, O. and Lu, Y. and Tsybakov, A.B. and Zhou, H.H.},
    title={Structured matrix estimation and completion},
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    note={cited By 3},
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    author={Nazin, A.V. and Nemirovsky, A.S. and Tsybakov, A.B. and Juditsky, A.B.},
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    title={Computational optimal transport},
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    doi={10.1561/2200000073},
    note={cited By 86},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061557059&doi=10.1561%2f2200000073&partnerID=40&md5=d30d729fe2a4972781fa3e5d72d74a70},
    document_type={Article},
    source={Scopus},
    }
  • Bi-log-concavity: some properties and some remarks towards a multi-dimensional extension

    Electronic communications in probability, vol. 24, pp. 1-8, 2019.

    By A. Saumard

    [DOI] [Bibtex]

    @ARTICLE{Saumard20191,
    author={Saumard, A.},
    title={Bi-log-concavity: Some properties and some remarks towards a multi-dimensional extension},
    journal={Electronic Communications in Probability},
    year={2019},
    volume={24},
    pages={1-8},
    doi={10.1214/19-ECP266},
    art_number={61},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073534553&doi=10.1214%2f19-ECP266&partnerID=40&md5=c1b1ff83c07f1e40f731141969b5f999},
    document_type={Article},
    source={Scopus},
    }
  • Weighted poincare inequalities, concentration inequalities and tail bounds related to stein kernels in dimension one

    Bernoulli, vol. 25, iss. 4B, pp. 3978-4006, 2019.

    By A. Saumard

    [DOI] [Bibtex]

    @ARTICLE{Saumard20193978,
    author={Saumard, A.},
    title={Weighted Poincare inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one},
    journal={Bernoulli},
    year={2019},
    volume={25},
    number={4B},
    pages={3978-4006},
    doi={10.3150/19-BEJ1117},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073053217&doi=10.3150%2f19-BEJ1117&partnerID=40&md5=b329bcec715ee5cfe5bf9f976ebac7fe},
    document_type={Article},
    source={Scopus},
    }
  • On the isoperimetric constant, covariance inequalities and lp-poincare inequalities in dimension one

    Bernoulli, vol. 25, iss. 3, pp. 1794-1815, 2019.

    By A. Saumard and J. A. Wellner

    [DOI] [Bibtex]

    @ARTICLE{Saumard20191794,
    author={Saumard, A. and Wellner, J.A.},
    title={On the isoperimetric constant, covariance inequalities and Lp-Poincare inequalities in dimension one},
    journal={Bernoulli},
    year={2019},
    volume={25},
    number={3},
    pages={1794-1815},
    doi={10.3150/18-BEJ1036},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069678551&doi=10.3150%2f18-BEJ1036&partnerID=40&md5=19e694bf54385672b657c079ef03abc5},
    document_type={Article},
    source={Scopus},
    }
  • On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails

    Extremes, vol. 22, iss. 4, pp. 749-769, 2019.

    By G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Stupfler2019749,
    author={Stupfler, G.},
    title={On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails},
    journal={Extremes},
    year={2019},
    volume={22},
    number={4},
    pages={749-769},
    doi={10.1007/s10687-019-00351-5},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066469584&doi=10.1007%2fs10687-019-00351-5&partnerID=40&md5=54085237d8dffbb2509e19d13a603842},
    document_type={Article},
    source={Scopus},
    }
  • On the study of extremes with dependent random right-censoring

    Extremes, vol. 22, iss. 1, pp. 97-129, 2019.

    By G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Stupfler201997,
    author={Stupfler, G.},
    title={On the study of extremes with dependent random right-censoring},
    journal={Extremes},
    year={2019},
    volume={22},
    number={1},
    pages={97-129},
    doi={10.1007/s10687-018-0328-6},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049007249&doi=10.1007%2fs10687-018-0328-6&partnerID=40&md5=9e95f61b9ab9d7dd06ca1c68f46a7dc3},
    document_type={Article},
    source={Scopus},
    }
  • Root-n consistent estimation of the marginal density in semiparametric autoregressive time series models

    Bernoulli, vol. 25, iss. 3, pp. 2107-2136, 2019.

    By L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Truquet20192107,
    author={Truquet, L.},
    title={Root-n consistent estimation of the marginal density in semiparametric autoregressive time series models},
    journal={Bernoulli},
    year={2019},
    volume={25},
    number={3},
    pages={2107-2136},
    doi={10.3150/18-BEJ1047},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069805103&doi=10.3150%2f18-BEJ1047&partnerID=40&md5=667a03fb4811811bcdf89c1a0183a3a4},
    document_type={Article},
    source={Scopus},
    }
  • Local stationarity and time-inhomogeneous markov chains

    Annals of statistics, vol. 47, iss. 4, pp. 2023-2050, 2019.

    By L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Truquet20192023,
    author={Truquet, L.},
    title={Local stationarity and time-inhomogeneous markov chains},
    journal={Annals of Statistics},
    year={2019},
    volume={47},
    number={4},
    pages={2023-2050},
    doi={10.1214/18-AOS1739},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068896804&doi=10.1214%2f18-AOS1739&partnerID=40&md5=a1597086bf61e1738682fa15378f7649},
    document_type={Article},
    source={Scopus},
    }

2018

  • On the prediction loss of the lasso in the partially labeled setting

    Electronic journal of statistics, vol. 12, iss. 2, pp. 3443-3472, 2018.

    By P. C. Bellec, A. S. Dalalyan, E. Grappin, and Q. Paris

    [DOI] [Bibtex]

    @ARTICLE{Bellec20183443,
    author={Bellec, P.C. and Dalalyan, A.S. and Grappin, E. and Paris, Q.},
    title={On the prediction loss of the lasso in the partially labeled setting},
    journal={Electronic Journal of Statistics},
    year={2018},
    volume={12},
    number={2},
    pages={3443-3472},
    doi={10.1214/18-EJS1457},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063375588&doi=10.1214%2f18-EJS1457&partnerID=40&md5=9bdab6eedcbae99bf9fbf0a7d604a57c},
    document_type={Article},
    source={Scopus},
    }
  • Slope meets lasso: improved oracle bounds and optimality

    Annals of statistics, vol. 46, iss. 6B, pp. 3603-3642, 2018.

    By P. C. Bellec, G. Lecue, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Bellec20183603,
    author={Bellec, P.C. and Lecue, G. and Tsybakov, A.B.},
    title={Slope meets lasso: Improved oracle bounds and optimality},
    journal={Annals of Statistics},
    year={2018},
    volume={46},
    number={6B},
    pages={3603-3642},
    doi={10.1214/17-AOS1670},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054152682&doi=10.1214%2f17-AOS1670&partnerID=40&md5=11f88e820b0f94782466f552a9669ce1},
    document_type={Article},
    source={Scopus},
    }
  • Asthma, copd, and overlap in a national cohort: aco on a gradient

    Journal of allergy and clinical immunology, vol. 141, iss. 4, pp. 1516-1518, 2018.

    By A. Bourdin, C. M. Suehs, G. Marin, I. Vachier, E. Matzner-Lober, P. Chanez, and N. Molinari

    [DOI] [Bibtex]

    @ARTICLE{Bourdin20181516,
    author={Bourdin, A. and Suehs, C.M. and Marin, G. and Vachier, I. and Matzner-Lober, E. and Chanez, P. and Molinari, N.},
    title={Asthma, COPD, and overlap in a national cohort: ACO on a gradient},
    journal={Journal of Allergy and Clinical Immunology},
    year={2018},
    volume={141},
    number={4},
    pages={1516-1518},
    doi={10.1016/j.jaci.2017.11.049},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042591572&doi=10.1016%2fj.jaci.2017.11.049&partnerID=40&md5=7149fe9488bcd2248ab580045bb3ef8e},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric estimation in case of endogenous selection

    Journal of econometrics, vol. 202, iss. 2, pp. 268-285, 2018.

    By C. Breunig, E. Mammen, and A. Simoni

    [DOI] [Bibtex]

    @ARTICLE{Breunig2018268,
    author={Breunig, C. and Mammen, E. and Simoni, A.},
    title={Nonparametric estimation in case of endogenous selection},
    journal={Journal of Econometrics},
    year={2018},
    volume={202},
    number={2},
    pages={268-285},
    doi={10.1016/j.jeconom.2017.11.002},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037030479&doi=10.1016%2fj.jeconom.2017.11.002&partnerID=40&md5=c9abd21210e3008d779208cc5724221a},
    document_type={Article},
    source={Scopus},
    }
  • Statistical analysis of particle trajectories in living cells

    Physical review e, vol. 97, iss. 6, 2018.

    By V. Briane, C. Kervrann, and M. Vimond

    [DOI] [Bibtex]

    @ARTICLE{Briane2018,
    author={Briane, V. and Kervrann, C. and Vimond, M.},
    title={Statistical analysis of particle trajectories in living cells},
    journal={Physical Review E},
    year={2018},
    volume={97},
    number={6},
    doi={10.1103/PhysRevE.97.062121},
    art_number={062121},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048574125&doi=10.1103%2fPhysRevE.97.062121&partnerID=40&md5=2cc110c164721277766a45cd030db958},
    document_type={Article},
    source={Scopus},
    }
  • Methods for estimation of convex sets

    Statistical science, vol. 33, iss. 4, pp. 615-632, 2018.

    By V. -E. Brunel

    [DOI] [Bibtex]

    @ARTICLE{Brunel2018615,
    author={Brunel, V.-E.},
    title={Methods for estimation of convex sets},
    journal={Statistical Science},
    year={2018},
    volume={33},
    number={4},
    pages={615-632},
    doi={10.1214/18-STS669},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057493431&doi=10.1214%2f18-STS669&partnerID=40&md5=8abdb9095bb43ea9153fb0a925677a88},
    document_type={Article},
    source={Scopus},
    }
  • A change-point problem and inference for segment signals

    Esaim – probability and statistics, vol. 22, pp. 210-235, 2018.

    By V. -E. Brunel

    [DOI] [Bibtex]

    @ARTICLE{Brunel2018210,
    author={Brunel, V.-E.},
    title={A change-point problem and inference for segment signals},
    journal={ESAIM - Probability and Statistics},
    year={2018},
    volume={22},
    pages={210-235},
    doi={10.1051/ps/2018014},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060719460&doi=10.1051%2fps%2f2018014&partnerID=40&md5=40fee3270f50a40d844d180081e3b2c1},
    document_type={Article},
    source={Scopus},
    }
  • Variable selection with hamming loss

    Annals of statistics, vol. 46, iss. 5, pp. 1837-1875, 2018.

    By C. Butucea, M. Ndaoud, N. A. Stepanova, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Butucea20181837,
    author={Butucea, C. and Ndaoud, M. and Stepanova, N.A. and Tsybakov, A.B.},
    title={Variable selection with hamming loss},
    journal={Annals of Statistics},
    year={2018},
    volume={46},
    number={5},
    pages={1837-1875},
    doi={10.1214/17-AOS1572},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052655230&doi=10.1214%2f17-AOS1572&partnerID=40&md5=7f43dc9716fafc6e4c886f2cabc27df8},
    document_type={Article},
    source={Scopus},
    }
  • Maximum entropy distribution of order statistics with given marginals

    Bernoulli, vol. 24, iss. 1, pp. 115-155, 2018.

    By C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer

    [DOI] [Bibtex]

    @ARTICLE{Butucea2018115,
    author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
    title={Maximum entropy distribution of order statistics with given marginals},
    journal={Bernoulli},
    year={2018},
    volume={24},
    number={1},
    pages={115-155},
    doi={10.3150/16-BEJ868},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026316489&doi=10.3150%2f16-BEJ868&partnerID=40&md5=2913dc7b1c465e671915b9115e7d5281},
    document_type={Article},
    source={Scopus},
    }
  • Local asymptotic equivalence of pure states ensembles and quantum gaussian white noise

    Annals of statistics, vol. 46, iss. 6B, pp. 3676-3706, 2018.

    By C. Butucea, M. A. Gut, and M. Nussbaum

    [DOI] [Bibtex]

    @ARTICLE{Butucea20183676,
    author={Butucea, C. and Gut, M.A. and Nussbaum, M.},
    title={Local asymptotic equivalence of pure states ensembles and quantum Gaussian white noise},
    journal={Annals of Statistics},
    year={2018},
    volume={46},
    number={6B},
    pages={3676-3706},
    doi={10.1214/17-AOS1672},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054753811&doi=10.1214%2f17-AOS1672&partnerID=40&md5=761d964ed3fffc1dc98d42ee6c59d0e9},
    document_type={Article},
    source={Scopus},
    }
  • Fast adaptive estimation of log-additive exponential models in kullback-leibler divergence

    Electronic journal of statistics, vol. 12, iss. 1, pp. 1256-1298, 2018.

    By C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer

    [DOI] [Bibtex]

    @ARTICLE{Butucea20181256,
    author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
    title={Fast adaptive estimation of log-additive exponential models in kullback-leibler divergence},
    journal={Electronic Journal of Statistics},
    year={2018},
    volume={12},
    number={1},
    pages={1256-1298},
    doi={10.1214/18-EJS1413},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045095428&doi=10.1214%2f18-EJS1413&partnerID=40&md5=b91d2045fe347a32217e3ff5257eec1b},
    document_type={Article},
    source={Scopus},
    }
  • Geodesic pca versus log-pca of histograms in the wasserstein space

    Siam journal on scientific computing, vol. 40, iss. 2, p. B429-B456, 2018.

    By E. Cazelles, V. Seguy, J. Bigot, M. Cuturi, and N. Papadakis

    [DOI] [Bibtex]

    @ARTICLE{Cazelles2018B429,
    author={Cazelles, E. and Seguy, V. and Bigot, J. and Cuturi, M. and Papadakis, N.},
    title={Geodesic PCA versus LOG-PCA of histograms in the wasserstein space},
    journal={SIAM Journal on Scientific Computing},
    year={2018},
    volume={40},
    number={2},
    pages={B429-B456},
    doi={10.1137/17M1143459},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046805671&doi=10.1137%2f17M1143459&partnerID=40&md5=c8927fe265b5b71d2c6216060ee1b53f},
    document_type={Article},
    source={Scopus},
    }
  • Bayesian estimation and comparison of moment condition models

    Journal of the american statistical association, vol. 113, iss. 524, pp. 1656-1668, 2018.

    By S. Chib, M. Shin, and A. Simoni

    [DOI] [Bibtex]

    @ARTICLE{Chib20181656,
    author={Chib, S. and Shin, M. and Simoni, A.},
    title={Bayesian Estimation and Comparison of Moment Condition Models},
    journal={Journal of the American Statistical Association},
    year={2018},
    volume={113},
    number={524},
    pages={1656-1668},
    doi={10.1080/01621459.2017.1358172},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049125012&doi=10.1080%2f01621459.2017.1358172&partnerID=40&md5=3fb44d2ad43a19a14487113f3d047354},
    document_type={Article},
    source={Scopus},
    }
  • Estimating linear functionals of a sparse family of poisson means

    Statistical inference for stochastic processes, vol. 21, iss. 2, pp. 331-344, 2018.

    By O. Collier and A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Collier2018331,
    author={Collier, O. and Dalalyan, A.S.},
    title={Estimating linear functionals of a sparse family of Poisson means},
    journal={Statistical Inference for Stochastic Processes},
    year={2018},
    volume={21},
    number={2},
    pages={331-344},
    doi={10.1007/s11203-018-9173-0},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041505653&doi=10.1007%2fs11203-018-9173-0&partnerID=40&md5=2b05a012de069bfeab71d1312cd7cd08},
    document_type={Article},
    source={Scopus},
    }
  • Optimal adaptive estimation of linear functionals under sparsity

    Annals of statistics, vol. 46, iss. 6A, pp. 3130-3150, 2018.

    By O. Collier, L. Comminges, A. B. Tsybakov, and N. Verzelen

    [DOI] [Bibtex]

    @ARTICLE{Collier20183130,
    author={Collier, O. and Comminges, L. and Tsybakov, A.B. and Verzelen, N.},
    title={Optimal adaptive estimation of linear functionals under sparsity},
    journal={Annals of Statistics},
    year={2018},
    volume={46},
    number={6A},
    pages={3130-3150},
    doi={10.1214/17-AOS1653},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054763840&doi=10.1214%2f17-AOS1653&partnerID=40&md5=3719a1d4a3388288ca71bb4022e4117c},
    document_type={Article},
    source={Scopus},
    }
  • Semidual regularized optimal transport

    Siam review, vol. 60, iss. 4, pp. 941-965, 2018.

    By M. Cuturi and G. Peyre

    [DOI] [Bibtex]

    @ARTICLE{Cuturi2018941,
    author={Cuturi, M. and Peyre, G.},
    title={Semidual regularized optimal transport},
    journal={SIAM Review},
    year={2018},
    volume={60},
    number={4},
    pages={941-965},
    doi={10.1137/18M1208654},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056596147&doi=10.1137%2f18M1208654&partnerID=40&md5=0ca7a87656c59e048f410f024963aaad},
    document_type={Article},
    source={Scopus},
    }
  • On the exponentially weighted aggregate with the laplace prior

    Annals of statistics, vol. 46, iss. 5, pp. 2452-2478, 2018.

    By A. S. Dalalyan, E. Grappin, and Q. Paris

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan20182452,
    author={Dalalyan, A.S. and Grappin, E. and Paris, Q.},
    title={On the exponentially weighted aggregate with the laplace prior},
    journal={Annals of Statistics},
    year={2018},
    volume={46},
    number={5},
    pages={2452-2478},
    doi={10.1214/17-AOS1626},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052610806&doi=10.1214%2f17-AOS1626&partnerID=40&md5=b2c02b889f4fa84d107838e03f2e7497},
    document_type={Article},
    source={Scopus},
    }
  • Towards dictionaries of optimal size: a bayesian non parametric approach

    Journal of signal processing systems, vol. 90, iss. 2, pp. 221-232, 2018.

    By H. P. Dang and P. Chainais

    [DOI] [Bibtex]

    @ARTICLE{Dang2018221,
    author={Dang, H.P. and Chainais, P.},
    title={Towards Dictionaries of Optimal Size: A Bayesian Non Parametric Approach},
    journal={Journal of Signal Processing Systems},
    year={2018},
    volume={90},
    number={2},
    pages={221-232},
    doi={10.1007/s11265-016-1154-1},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976481547&doi=10.1007%2fs11265-016-1154-1&partnerID=40&md5=2099dbdaa2912808e69979aa659dd4fc},
    document_type={Article},
    source={Scopus},
    }
  • Estimation of tail risk based on extreme expectiles

    Journal of the royal statistical society. series b: statistical methodology, vol. 80, iss. 2, pp. 263-292, 2018.

    By A. Daouia, S. Girard, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Daouia2018263,
    author={Daouia, A. and Girard, S. and Stupfler, G.},
    title={Estimation of tail risk based on extreme expectiles},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2018},
    volume={80},
    number={2},
    pages={263-292},
    doi={10.1111/rssb.12254},
    note={cited By 28},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031100950&doi=10.1111%2frssb.12254&partnerID=40&md5=d1ba37e5c0ea3391c2a1c1d9bfc102fd},
    document_type={Article},
    source={Scopus},
    }
  • Non parametric estimation for random walks in random environment

    Stochastic processes and their applications, vol. 128, iss. 1, pp. 132-155, 2018.

    By R. Diel and M. Lerasle

    [DOI] [Bibtex]

    @ARTICLE{Diel2018132,
    author={Diel, R. and Lerasle, M.},
    title={Non parametric estimation for random walks in random environment},
    journal={Stochastic Processes and their Applications},
    year={2018},
    volume={128},
    number={1},
    pages={132-155},
    doi={10.1016/j.spa.2017.04.011},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020465504&doi=10.1016%2fj.spa.2017.04.011&partnerID=40&md5=ee28ed1bf2091f888b965a0b5cc5756f},
    document_type={Article},
    source={Scopus},
    }
  • On the gap between restricted isometry properties and sparse recovery conditions

    Ieee transactions on information theory, vol. 64, iss. 8, pp. 5478-5487, 2018.

    By S. Dirksen, G. Lecue, and H. Rauhut

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    @ARTICLE{Dirksen20185478,
    author={Dirksen, S. and Lecue, G. and Rauhut, H.},
    title={On the gap between restricted isometry properties and sparse recovery conditions},
    journal={IEEE Transactions on Information Theory},
    year={2018},
    volume={64},
    number={8},
    pages={5478-5487},
    doi={10.1109/TIT.2016.2570244},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050028964&doi=10.1109%2fTIT.2016.2570244&partnerID=40&md5=cd4d7f69c2c938631f7688baf2103f16},
    document_type={Article},
    source={Scopus},
    }
  • Improved estimators of extreme wang distortion risk measures for very heavy-tailed distributions

    Econometrics and statistics, vol. 6, pp. 129-148, 2018.

    By J. El Methni and G. Stupfler

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    @ARTICLE{ElMethni2018129,
    author={El Methni, J. and Stupfler, G.},
    title={Improved estimators of extreme Wang distortion risk measures for very heavy-tailed distributions},
    journal={Econometrics and Statistics},
    year={2018},
    volume={6},
    pages={129-148},
    doi={10.1016/j.ecosta.2017.03.002},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041039838&doi=10.1016%2fj.ecosta.2017.03.002&partnerID=40&md5=395d4f223bca8d3a4e516e518282924f},
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    source={Scopus},
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  • Wasserstein discriminant analysis

    Machine learning, vol. 107, iss. 12, pp. 1923-1945, 2018.

    By R. Flamary, M. Cuturi, N. Courty, and A. Rakotomamonjy

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    @ARTICLE{Flamary20181923,
    author={Flamary, R. and Cuturi, M. and Courty, N. and Rakotomamonjy, A.},
    title={Wasserstein discriminant analysis},
    journal={Machine Learning},
    year={2018},
    volume={107},
    number={12},
    pages={1923-1945},
    doi={10.1007/s10994-018-5717-1},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047144827&doi=10.1007%2fs10994-018-5717-1&partnerID=40&md5=f43f3d144ea78675d6e5183a6b4a2dc1},
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    source={Scopus},
    }
  • Approachability of convex sets in generalized quitting games

    Games and economic behavior, vol. 108, pp. 411-431, 2018.

    By J. Flesch, R. Laraki, and V. Perchet

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    @ARTICLE{Flesch2018411,
    author={Flesch, J. and Laraki, R. and Perchet, V.},
    title={Approachability of convex sets in generalized quitting games},
    journal={Games and Economic Behavior},
    year={2018},
    volume={108},
    pages={411-431},
    doi={10.1016/j.geb.2017.12.007},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038856302&doi=10.1016%2fj.geb.2017.12.007&partnerID=40&md5=86ea7d9797fddfa24253095fc85cb9b5},
    document_type={Article},
    source={Scopus},
    }
  • Regularization and the small-ball method i: sparse recovery

    Annals of statistics, vol. 46, iss. 2, pp. 611-641, 2018.

    By G. Lecue and S. Mendelson

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    @ARTICLE{Lecue2018611,
    author={Lecue, G. and Mendelson, S.},
    title={Regularization and the small-ball method I: Sparse recovery},
    journal={Annals of Statistics},
    year={2018},
    volume={46},
    number={2},
    pages={611-641},
    doi={10.1214/17-AOS1562},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045183621&doi=10.1214%2f17-AOS1562&partnerID=40&md5=9d2461e3e531be8b396d2e878a095844},
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    }
  • A dimension reduction approach for conditional kaplan–meier estimators

    Test, vol. 27, iss. 2, pp. 295-315, 2018.

    By W. Li and V. Patilea

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    @ARTICLE{Li2018295,
    author={Li, W. and Patilea, V.},
    title={A dimension reduction approach for conditional Kaplan–Meier estimators},
    journal={Test},
    year={2018},
    volume={27},
    number={2},
    pages={295-315},
    doi={10.1007/s11749-017-0546-2},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020539332&doi=10.1007%2fs11749-017-0546-2&partnerID=40&md5=1b6765f5af57ab98c5ae7927297c9d96},
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    source={Scopus},
    }
  • Thoughts on entering correlated imaging variables into a multivariable model: application to radiomics and texture analysis

    Diagnostic and interventional imaging, vol. 99, iss. 5, pp. 269-270, 2018.

    By E. Matzner-Lober, M. Suehs Carey, A. Dohan, and N. Molinari

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    @EDITORIAL{Matzner-Lober2018269,
    author={Matzner-Lober, E. and Suehs Carey, M. and Dohan, A. and Molinari, N.},
    title={Thoughts on entering correlated imaging variables into a multivariable model: Application to radiomics and texture analysis},
    journal={Diagnostic and Interventional Imaging},
    year={2018},
    volume={99},
    number={5},
    pages={269-270},
    doi={10.1016/j.diii.2018.04.011},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047986537&doi=10.1016%2fj.diii.2018.04.011&partnerID=40&md5=fa5855cd8eb1c7450c34073dc86f5c2b},
    document_type={Editorial},
    source={Scopus},
    }
  • Noise contrastive estimation: asymptotic properties, formal comparison with mc-mle

    Electronic journal of statistics, vol. 12, iss. 2, pp. 3473-3518, 2018.

    By L. Riou-Durand and N. Chopin

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    @ARTICLE{Riou-Durand20183473,
    author={Riou-Durand, L. and Chopin, N.},
    title={Noise contrastive estimation: Asymptotic properties, formal comparison with MC-MLE},
    journal={Electronic Journal of Statistics},
    year={2018},
    volume={12},
    number={2},
    pages={3473-3518},
    doi={10.1214/18-EJS1485},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063408687&doi=10.1214%2f18-EJS1485&partnerID=40&md5=e0a1a547b01e88dd2100e4a81f5bedc1},
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    }
  • On optimality of empirical risk minimization in linear aggregation

    Bernoulli, vol. 24, iss. 3, pp. 2176-2203, 2018.

    By A. Saumard

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    @ARTICLE{Saumard20182176,
    author={Saumard, A.},
    title={On optimality of empirical risk minimization in linear aggregation},
    journal={Bernoulli},
    year={2018},
    volume={24},
    number={3},
    pages={2176-2203},
    doi={10.3150/17-BEJ925},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041920614&doi=10.3150%2f17-BEJ925&partnerID=40&md5=d4f55c18817fa39bf39989f07fd87919},
    document_type={Article},
    source={Scopus},
    }
  • Efron’s monotonicity property for measures on r2

    Journal of multivariate analysis, vol. 166, pp. 212-224, 2018.

    By A. Saumard and J. A. Wellner

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    @ARTICLE{Saumard2018212,
    author={Saumard, A. and Wellner, J.A.},
    title={Efron's monotonicity property for measures on R2},
    journal={Journal of Multivariate Analysis},
    year={2018},
    volume={166},
    pages={212-224},
    doi={10.1016/j.jmva.2018.03.005},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044606119&doi=10.1016%2fj.jmva.2018.03.005&partnerID=40&md5=5dc0165aad3aa7ea38f4e0bbc15e366d},
    document_type={Article},
    source={Scopus},
    }
  • Wasserstein dictionary learning: optimal transport-based unsupervised nonlinear dictionary learning

    Siam journal on imaging sciences, vol. 11, iss. 1, pp. 643-678, 2018.

    By M. A. Schmitz, M. Heitz, N. Bonneel, F. Ngole, D. Coeurjolly, M. Cuturi, G. Peyre, and J. -L. Starck

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    @ARTICLE{Schmitz2018643,
    author={Schmitz, M.A. and Heitz, M. and Bonneel, N. and Ngole, F. and Coeurjolly, D. and Cuturi, M. and Peyre, G. and Starck, J.-L.},
    title={Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning},
    journal={SIAM Journal on Imaging Sciences},
    year={2018},
    volume={11},
    number={1},
    pages={643-678},
    doi={10.1137/17M1140431},
    note={cited By 18},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045695466&doi=10.1137%2f17M1140431&partnerID=40&md5=bcf6adf908a2d41f6d15a124f1cdefef},
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    source={Scopus},
    }
  • Analyzing and predicting cat bond premiums: a financial loss premium principle and extreme value modeling

    Astin bulletin, vol. 48, iss. 1, pp. 375-411, 2018.

    By G. Stupfler and F. Yang

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    @ARTICLE{Stupfler2018375,
    author={Stupfler, G. and Yang, F.},
    title={Analyzing and predicting cat bond premiums: A financial loss premium principle and extreme value modeling},
    journal={ASTIN Bulletin},
    year={2018},
    volume={48},
    number={1},
    pages={375-411},
    doi={10.1017/asb.2017.32},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033375336&doi=10.1017%2fasb.2017.32&partnerID=40&md5=12fa15da64f5d9b9599d7de1a3cfbc98},
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  • Efficient semiparametric estimation in time-varying regression models

    Statistics, vol. 52, iss. 3, pp. 590-618, 2018.

    By L. Truquet

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    @ARTICLE{Truquet2018590,
    author={Truquet, L.},
    title={Efficient semiparametric estimation in time-varying regression models},
    journal={Statistics},
    year={2018},
    volume={52},
    number={3},
    pages={590-618},
    doi={10.1080/02331888.2018.1425999},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041608333&doi=10.1080%2f02331888.2018.1425999&partnerID=40&md5=069d9ec8d595e85f2081abc737f4ef7d},
    document_type={Article},
    source={Scopus},
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2017

  • Linear and conic programming estimators in high dimensional errors-in-variables models

    Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 939-956, 2017.

    By A. Belloni, M. Rosenbaum, and A. B. Tsybakov

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    @ARTICLE{Belloni2017939,
    author={Belloni, A. and Rosenbaum, M. and Tsybakov, A.B.},
    title={Linear and conic programming estimators in high dimensional errors-in-variables models},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2017},
    volume={79},
    number={3},
    pages={939-956},
    doi={10.1111/rssb.12196},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978148144&doi=10.1111%2frssb.12196&partnerID=40&md5=51a9b292300db46f549014e690c747aa},
    document_type={Article},
    source={Scopus},
    }
  • Semiparametric topographical mixture models with symmetric errors

    Bernoulli, vol. 23, iss. 2, pp. 825-862, 2017.

    By C. Butucea, R. Ngueyep Tzoumpe, and P. Vandekerkhove

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    @ARTICLE{Butucea2017825,
    author={Butucea, C. and Ngueyep Tzoumpe, R. and Vandekerkhove, P.},
    title={Semiparametric topographical mixture models with symmetric errors},
    journal={Bernoulli},
    year={2017},
    volume={23},
    number={2},
    pages={825-862},
    doi={10.3150/15-BEJ760},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012923747&doi=10.3150%2f15-BEJ760&partnerID=40&md5=26843377705524014950011b89a0af88},
    document_type={Article},
    source={Scopus},
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  • Adaptive variable selection in nonparametric sparse additive models

    Electronic journal of statistics, vol. 11, iss. 1, pp. 2321-2357, 2017.

    By C. Butucea and N. Stepanova

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    @ARTICLE{Butucea20172321,
    author={Butucea, C. and Stepanova, N.},
    title={Adaptive variable selection in nonparametric sparse additive models},
    journal={Electronic Journal of Statistics},
    year={2017},
    volume={11},
    number={1},
    pages={2321-2357},
    doi={10.1214/17-EJS1275},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019970964&doi=10.1214%2f17-EJS1275&partnerID=40&md5=c4727a8bbde5712d1a2ee6e29109e500},
    document_type={Article},
    source={Scopus},
    }
  • Optimal exponential bounds for aggregation of estimators for the kullback-leibler loss

    Electronic journal of statistics, vol. 11, iss. 1, pp. 2258-2294, 2017.

    By C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer

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    @ARTICLE{Butucea20172258,
    author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
    title={Optimal exponential bounds for aggregation of estimators for the Kullback-Leibler loss},
    journal={Electronic Journal of Statistics},
    year={2017},
    volume={11},
    number={1},
    pages={2258-2294},
    doi={10.1214/17-EJS1269},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019665273&doi=10.1214%2f17-EJS1269&partnerID=40&md5=dab53d86efb986b651fe18f1dc0aa5e0},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric tests for cox processes

    Journal of statistical planning and inference, vol. 184, pp. 48-61, 2017.

    By B. Cadre, G. Massiot, and L. Truquet

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    @ARTICLE{Cadre201748,
    author={Cadre, B. and Massiot, G. and Truquet, L.},
    title={Nonparametric tests for Cox processes},
    journal={Journal of Statistical Planning and Inference},
    year={2017},
    volume={184},
    pages={48-61},
    doi={10.1016/j.jspi.2016.12.001},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009437467&doi=10.1016%2fj.jspi.2016.12.001&partnerID=40&md5=e7ca56b26db9958198d751ab904c8a0b},
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    source={Scopus},
    }
  • Linear wavelet estimation of the derivatives of a regression function based on biased data

    Communications in statistics – theory and methods, vol. 46, iss. 19, pp. 9541-9556, 2017.

    By Y. P. Chaubey, C. Chesneau, and F. Navarro

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    @ARTICLE{Chaubey20179541,
    author={Chaubey, Y.P. and Chesneau, C. and Navarro, F.},
    title={Linear wavelet estimation of the derivatives of a regression function based on biased data},
    journal={Communications in Statistics - Theory and Methods},
    year={2017},
    volume={46},
    number={19},
    pages={9541-9556},
    doi={10.1080/03610926.2016.1213287},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020414551&doi=10.1080%2f03610926.2016.1213287&partnerID=40&md5=0191ab2f8cbfc37438660149d398cd0e},
    document_type={Article},
    source={Scopus},
    }
  • On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator

    Communications in statistics – theory and methods, vol. 46, iss. 11, pp. 5643-5655, 2017.

    By C. Chesneau and F. Navarro

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    @ARTICLE{Chesneau20175643,
    author={Chesneau, C. and Navarro, F.},
    title={On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator},
    journal={Communications in Statistics - Theory and Methods},
    year={2017},
    volume={46},
    number={11},
    pages={5643-5655},
    doi={10.1080/03610926.2015.1107587},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013046209&doi=10.1080%2f03610926.2015.1107587&partnerID=40&md5=7e10b9e833e8d62a0413d6ac3fc059df},
    document_type={Article},
    source={Scopus},
    }
  • A note on the adaptive estimation of the differential entropy by wavelet methods

    Commentationes mathematicae universitatis carolinae, vol. 58, iss. 1, pp. 87-100, 2017.

    By C. Chesneau, F. Navarro, and O. S. Serea

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    @ARTICLE{Chesneau201787,
    author={Chesneau, C. and Navarro, F. and Serea, O.S.},
    title={A note on the adaptive estimation of the differential entropy by wavelet methods},
    journal={Commentationes Mathematicae Universitatis Carolinae},
    year={2017},
    volume={58},
    number={1},
    pages={87-100},
    doi={10.14712/1213-7243.2015.191},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016122850&doi=10.14712%2f1213-7243.2015.191&partnerID=40&md5=deec2b520ccab956a6063067c5bd2c08},
    document_type={Article},
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    }
  • The number of potential winners in bradley-terry model in random environment

    Annals of applied probability, vol. 27, iss. 3, pp. 1372-1394, 2017.

    By R. Chetrite, R. Diel, and M. Lerasle

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    @ARTICLE{Chetrite20171372,
    author={Chetrite, R. and Diel, R. and Lerasle, M.},
    title={The number of potential winners in bradley-terry model in random environment},
    journal={Annals of Applied Probability},
    year={2017},
    volume={27},
    number={3},
    pages={1372-1394},
    doi={10.1214/16-AAP1231},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025140491&doi=10.1214%2f16-AAP1231&partnerID=40&md5=81d1fbcc5838fadaf255b4ca1f086136},
    document_type={Article},
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    }
  • Leave pima indians alone: binary regression as a benchmark for bayesian computation

    Statistical science, vol. 32, iss. 1, pp. 64-87, 2017.

    By N. Chopin and J. Ridgway

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    @ARTICLE{Chopin201764,
    author={Chopin, N. and Ridgway, J.},
    title={Leave pima Indians alone: Binary regression as a benchmark for Bayesian computation},
    journal={Statistical Science},
    year={2017},
    volume={32},
    number={1},
    pages={64-87},
    doi={10.1214/16-STS581},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017376369&doi=10.1214%2f16-STS581&partnerID=40&md5=21275e660e1dcb5f5c11c35355c572ae},
    document_type={Article},
    source={Scopus},
    }
  • Minimax estimation of linear and quadratic functionals on sparsity classes

    Annals of statistics, vol. 45, iss. 3, pp. 923-958, 2017.

    By O. Collier, L. Comminges, and A. B. Tsybakov

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    @ARTICLE{Collier2017923,
    author={Collier, O. and Comminges, L. and Tsybakov, A.B.},
    title={Minimax estimation of linear and quadratic functionals on sparsity classes},
    journal={Annals of Statistics},
    year={2017},
    volume={45},
    number={3},
    pages={923-958},
    doi={10.1214/15-AOS1432},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020631616&doi=10.1214%2f15-AOS1432&partnerID=40&md5=f68e9f442d7dcc58d7b5fd391bc7b952},
    document_type={Article},
    source={Scopus},
    }
  • Theoretical guarantees for approximate sampling from smooth and log-concave densities

    Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 651-676, 2017.

    By A. S. Dalalyan

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    @ARTICLE{Dalalyan2017651,
    author={Dalalyan, A.S.},
    title={Theoretical guarantees for approximate sampling from smooth and log-concave densities},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2017},
    volume={79},
    number={3},
    pages={651-676},
    doi={10.1111/rssb.12183},
    note={cited By 54},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018851800&doi=10.1111%2frssb.12183&partnerID=40&md5=7c7fc831ab0b47fda13b16b46538cdaa},
    document_type={Article},
    source={Scopus},
    }
  • On the prediction performance of the lasso

    Bernoulli, vol. 23, iss. 1, pp. 552-581, 2017.

    By A. S. Dalalyan, M. Hebiri, and J. Lederer

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    @ARTICLE{Dalalyan2017552,
    author={Dalalyan, A.S. and Hebiri, M. and Lederer, J.},
    title={On the prediction performance of the Lasso},
    journal={Bernoulli},
    year={2017},
    volume={23},
    number={1},
    pages={552-581},
    doi={10.3150/15-BEJ756},
    note={cited By 42},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991786871&doi=10.3150%2f15-BEJ756&partnerID=40&md5=58154c2dae197087a07bbcbc9798eb03},
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    source={Scopus},
    }
  • Indian buffet process dictionary learning: algorithms and applications to image processing

    International journal of approximate reasoning, vol. 83, pp. 1-20, 2017.

    By H. -P. Dang and P. Chainais

    [DOI] [Bibtex]

    @ARTICLE{Dang20171,
    author={Dang, H.-P. and Chainais, P.},
    title={Indian Buffet Process dictionary learning: Algorithms and applications to image processing},
    journal={International Journal of Approximate Reasoning},
    year={2017},
    volume={83},
    pages={1-20},
    doi={10.1016/j.ijar.2016.12.010},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009371868&doi=10.1016%2fj.ijar.2016.12.010&partnerID=40&md5=0b9fd980023e34376ceacc16f476b937},
    document_type={Article},
    source={Scopus},
    }
  • Confidence sets with expected sizes for multiclass Classification

    Journal of machine learning research, vol. 18, iss. None, pp. 1-28, 2017.

    By C. Denis and M. Hebiri

    [Bibtex]

    @ARTICLE{Denis2017ConfidenceClassification,
    author = {Christophe Denis and Mohamed Hebiri},
    title = {{Confidence sets with expected sizes for multiclass Classification}},
    journal = {Journal of Machine Learning Research},
    year = {2017},
    volume = {18},
    number = {None},
    pages = {1-28},
    }
  • Confidence sets with expected sizes for multiclass classification

    Journal of machine learning research, vol. 18, pp. 1-28, 2017.

    By C. Denis and M. Hebiri

    [Bibtex]

    @ARTICLE{Denis20171,
    author={Denis, C. and Hebiri, M.},
    title={Confidence sets with expected sizes for multiclass Classification},
    journal={Journal of Machine Learning Research},
    year={2017},
    volume={18},
    pages={1-28},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032965131&partnerID=40&md5=350270206498a3eff60f49b1e7dced44},
    document_type={Article},
    source={Scopus},
    }
  • An offspring of multivariate extreme value theory: the max-characteristic function

    Journal of multivariate analysis, vol. 154, pp. 85-95, 2017.

    By M. Falk and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Falk201785,
    author={Falk, M. and Stupfler, G.},
    title={An offspring of multivariate extreme value theory: The max-characteristic function},
    journal={Journal of Multivariate Analysis},
    year={2017},
    volume={154},
    pages={85-95},
    doi={10.1016/j.jmva.2016.10.007},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994804685&doi=10.1016%2fj.jmva.2016.10.007&partnerID=40&md5=2e68c4f99f8fde0d5a8a1d909060da2a},
    document_type={Article},
    source={Scopus},
    }
  • An iht algorithm for sparse recovery from subexponential measurements

    Ieee signal processing letters, vol. 24, iss. 9, pp. 1280-1283, 2017.

    By S. Foucart and G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Foucart20171280,
    author={Foucart, S. and Lecue, G.},
    title={An IHT Algorithm for Sparse Recovery from Subexponential Measurements},
    journal={IEEE Signal Processing Letters},
    year={2017},
    volume={24},
    number={9},
    pages={1280-1283},
    doi={10.1109/LSP.2017.2721500},
    art_number={7962149},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022037374&doi=10.1109%2fLSP.2017.2721500&partnerID=40&md5=74aa1ce570893e188b73409a790cd4ec},
    document_type={Article},
    source={Scopus},
    }
  • Convergence of sequential quasi-monte carlo smoothing algorithms

    Bernoulli, vol. 23, iss. 4B, pp. 2951-2987, 2017.

    By M. Gerber and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Gerber20172951,
    author={Gerber, M. and Chopin, N.},
    title={Convergence of sequential quasi-Monte Carlo smoothing algorithms},
    journal={Bernoulli},
    year={2017},
    volume={23},
    number={4B},
    pages={2951-2987},
    doi={10.3150/16-BEJ834},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019550080&doi=10.3150%2f16-BEJ834&partnerID=40&md5=e9071243d8e37633fe12e576baa2921d},
    document_type={Article},
    source={Scopus},
    }
  • Intriguing properties of extreme geometric quantiles

    Revstat statistical journal, vol. 15, iss. 1, pp. 107-139, 2017.

    By S. Girard and G. Stupfler

    [Bibtex]

    @ARTICLE{Girard2017IntriguingQuantiles,
    author = {Stephane Girard and Gilles Stupfler},
    title = {{Intriguing properties of extreme geometric quantiles}},
    journal = {Revstat Statistical Journal},
    year = {2017},
    volume = {15},
    number = {1},
    pages = {107-139}}
  • Intriguing properties of extreme geometric quantiles

    Revstat statistical journal, vol. 15, iss. 1, pp. 107-139, 2017.

    By S. Girard and G. Stupfler

    [Bibtex]

    @ARTICLE{Girard2017107,
    author={Girard, S. and Stupfler, G.},
    title={Intriguing properties of extreme geometric quantiles},
    journal={Revstat Statistical Journal},
    year={2017},
    volume={15},
    number={1},
    pages={107-139},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011659657&partnerID=40&md5=01ca4bc264c64aeb4a3d070cdf28d9ac},
    document_type={Article},
    source={Scopus},
    }
  • Semiparametric estimation of random coefficients in structural economic models

    Econometric theory, vol. 33, iss. 6, pp. 1265-1305, 2017.

    By S. Hoderlein, L. Nesheim, and A. Simoni

    [DOI] [Bibtex]

    @ARTICLE{Hoderlein20171265,
    author={Hoderlein, S. and Nesheim, L. and Simoni, A.},
    title={SEMIPARAMETRIC ESTIMATION of RANDOM COEFFICIENTS in STRUCTURAL ECONOMIC MODELS},
    journal={Econometric Theory},
    year={2017},
    volume={33},
    number={6},
    pages={1265-1305},
    doi={10.1017/S0266466616000396},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994076383&doi=10.1017%2fS0266466616000396&partnerID=40&md5=b16fef95bc8c9bea481aedc72c7d56f0},
    document_type={Article},
    source={Scopus},
    }
  • Conditional moment models with data missing at random

    Biometrika, vol. 104, iss. 3, pp. 735-742, 2017.

    By M. Hristache and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Hristache2017735,
    author={Hristache, M. and Patilea, V.},
    title={Conditional moment models with data missing at random},
    journal={Biometrika},
    year={2017},
    volume={104},
    number={3},
    pages={735-742},
    doi={10.1093/biomet/asx025},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037138465&doi=10.1093%2fbiomet%2fasx025&partnerID=40&md5=762861bea953ec2668f85e85f9837dbb},
    document_type={Article},
    source={Scopus},
    }
  • Robust matrix completion

    Probability theory and related fields, vol. 169, iss. 1-2, pp. 523-564, 2017.

    By O. Klopp, K. Lounici, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Klopp2017523,
    author={Klopp, O. and Lounici, K. and Tsybakov, A.B.},
    title={Robust matrix completion},
    journal={Probability Theory and Related Fields},
    year={2017},
    volume={169},
    number={1-2},
    pages={523-564},
    doi={10.1007/s00440-016-0736-y},
    note={cited By 26},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983445835&doi=10.1007%2fs00440-016-0736-y&partnerID=40&md5=b5bdbad468f45c041d2131821770f5d5},
    document_type={Article},
    source={Scopus},
    }
  • Oracle inequalities for network models and sparse graphon estimation

    Annals of statistics, vol. 45, iss. 1, pp. 316-354, 2017.

    By O. Klopp, A. B. Tsybakov, and N. Verzelen

    [DOI] [Bibtex]

    @ARTICLE{Klopp2017316,
    author={Klopp, O. and Tsybakov, A.B. and Verzelen, N.},
    title={Oracle inequalities for network models and sparse graphon estimation},
    journal={Annals of Statistics},
    year={2017},
    volume={45},
    number={1},
    pages={316-354},
    doi={10.1214/16-AOS1454},
    note={cited By 25},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015023562&doi=10.1214%2f16-AOS1454&partnerID=40&md5=eccdbefa98c9cf5dfb3ebfa09a9f3c86},
    document_type={Article},
    source={Scopus},
    }
  • Regularization and the small-ball method II: Complexity dependent error rates

    Journal of machine learning research, vol. 18, iss. None, p. -, 2017.

    By G. Lecue and S. Mendelson

    [Bibtex]

    @ARTICLE{Lecue2017RegularizationRates,
    author = {Guillaume Lecue and Shahar Mendelson},
    title = {{Regularization and the small-ball method II: Complexity dependent error rates}},
    journal = {Journal of Machine Learning Research},
    year = {2017},
    volume = {18},
    number = {None},
    pages = {-}}
  • Regularization and the small-ball method ii: complexity dependent error rates

    Journal of machine learning research, vol. 18, 2017.

    By G. Lecue and S. Mendelson

    [Bibtex]

    @ARTICLE{Lecue2017,
    author={Lecue, G. and Mendelson, S.},
    title={Regularization and the small-ball method II: Complexity dependent error rates},
    journal={Journal of Machine Learning Research},
    year={2017},
    volume={18},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040719961&partnerID=40&md5=cbb193dd40a2d6360bc088cb286d14ef},
    document_type={Article},
    source={Scopus},
    }
  • Sparse recovery under weak moment assumptions

    Journal of the european mathematical society, vol. 19, iss. 3, pp. 881-904, 2017.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue2017881,
    author={Lecue, G. and Mendelson, S.},
    title={Sparse recovery under weak moment assumptions},
    journal={Journal of the European Mathematical Society},
    year={2017},
    volume={19},
    number={3},
    pages={881-904},
    doi={10.4171/JEMS/682},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014487766&doi=10.4171%2fJEMS%2f682&partnerID=40&md5=e70da9b9ce1d0b275a62a685b64a9d13},
    document_type={Article},
    source={Scopus},
    }
  • A new minimum contrast approach for inference in single-index models

    Journal of multivariate analysis, vol. 158, pp. 47-59, 2017.

    By W. Li and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Li201747,
    author={Li, W. and Patilea, V.},
    title={A new minimum contrast approach for inference in single-index models},
    journal={Journal of Multivariate Analysis},
    year={2017},
    volume={158},
    pages={47-59},
    doi={10.1016/j.jmva.2017.03.009},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018473151&doi=10.1016%2fj.jmva.2017.03.009&partnerID=40&md5=6179e245074791b6b3b49720a1ce3763},
    document_type={Article},
    source={Scopus},
    }
  • Powerful nonparametric checks for quantile regression

    Journal of statistical planning and inference, vol. 180, pp. 13-29, 2017.

    By S. Maistre, P. Lavergne, and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Maistre201713,
    author={Maistre, S. and Lavergne, P. and Patilea, V.},
    title={Powerful nonparametric checks for quantile regression},
    journal={Journal of Statistical Planning and Inference},
    year={2017},
    volume={180},
    pages={13-29},
    doi={10.1016/j.jspi.2016.08.006},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994424567&doi=10.1016%2fj.jspi.2016.08.006&partnerID=40&md5=21ebadc2fcb911dfeb5be2472baa72b7},
    document_type={Article},
    source={Scopus},
    }
  • Extreme versions of wang risk measures and their estimation for heavy-tailed distributions

    Statistica sinica, vol. 27, iss. 2, pp. 907-930, 2017.

    By J. E. Methni and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Methni2017907,
    author={Methni, J.E. and Stupfler, G.},
    title={Extreme versions of wang risk measures and their estimation for heavy-tailed distributions},
    journal={Statistica Sinica},
    year={2017},
    volume={27},
    number={2},
    pages={907-930},
    doi={10.5705/ss.202015.0460},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016305277&doi=10.5705%2fss.202015.0460&partnerID=40&md5=187107a39a4f25065a86e55eab8c4f78},
    document_type={Article},
    source={Scopus},
    }
  • Slope heuristics and v-fold model selection in heteroscedastic regression using strongly localized bases

    Esaim – probability and statistics, vol. 21, pp. 412-451, 2017.

    By F. Navarro and A. Saumard

    [DOI] [Bibtex]

    @ARTICLE{Navarro2017412,
    author={Navarro, F. and Saumard, A.},
    title={Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases},
    journal={ESAIM - Probability and Statistics},
    year={2017},
    volume={21},
    pages={412-451},
    doi={10.1051/ps/2017005},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040310805&doi=10.1051%2fps%2f2017005&partnerID=40&md5=2b277d7ac84cb4c3f00519e40c1ff441},
    document_type={Article},
    source={Scopus},
    }
  • Control functionals for monte carlo integration

    Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 695-718, 2017.

    By C. J. Oates, M. Girolami, and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Oates2017695,
    author={Oates, C.J. and Girolami, M. and Chopin, N.},
    title={Control functionals for Monte Carlo integration},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2017},
    volume={79},
    number={3},
    pages={695-718},
    doi={10.1111/rssb.12185},
    note={cited By 61},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971325632&doi=10.1111%2frssb.12185&partnerID=40&md5=232a287ef8a5f8786f0e8d5a7e194dea},
    document_type={Article},
    source={Scopus},
    }
  • Empirical entropy, minimax regret and minimax risk

    Bernoulli, vol. 23, iss. 2, pp. 789-824, 2017.

    By A. Rakhlin, K. Sridharan, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Rakhlin2017789,
    author={Rakhlin, A. and Sridharan, K. and Tsybakov, A.B.},
    title={Empirical entropy, minimax regret and minimax risk},
    journal={Bernoulli},
    year={2017},
    volume={23},
    number={2},
    pages={789-824},
    doi={10.3150/14-BEJ679},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012932326&doi=10.3150%2f14-BEJ679&partnerID=40&md5=8b2f2fe19eece3e4839088df390a43d9},
    document_type={Article},
    source={Scopus},
    }
  • On wasserstein two-sample testing and related families of nonparametric tests

    Entropy, vol. 19, iss. 2, 2017.

    By A. Ramdas, N. G. Trillos, and M. Cuturi

    [DOI] [Bibtex]

    @ARTICLE{Ramdas2017,
    author={Ramdas, A. and Trillos, N.G. and Cuturi, M.},
    title={On wasserstein two-sample testing and related families of nonparametric tests},
    journal={Entropy},
    year={2017},
    volume={19},
    number={2},
    doi={10.3390/e19020047},
    art_number={47},
    note={cited By 27},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012289092&doi=10.3390%2fe19020047&partnerID=40&md5=a39c17c075aaccd3b2c39b5104274f0a},
    document_type={Article},
    source={Scopus},
    }
  • Exploratory use of structured assessment tools for the risk of recidivism in france [usage exploratoire d’outils d’evaluation structuree du risque de recidive en france]

    Annales medico-psychologiques, vol. 175, iss. 3, pp. 287-289, 2017.

    By M. Rio, N. Letto, and C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Rio2017287,
    author={Rio, M. and Letto, N. and Butucea, C.},
    title={Exploratory use of structured assessment tools for the risk of recidivism in France [Usage exploratoire d'outils d’evaluation structuree du risque de recidive en France]},
    journal={Annales Medico-Psychologiques},
    year={2017},
    volume={175},
    number={3},
    pages={287-289},
    doi={10.1016/j.amp.2017.01.014},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013471751&doi=10.1016%2fj.amp.2017.01.014&partnerID=40&md5=8b69cc67b6d94fd3990db8dc05c1d974},
    document_type={Article},
    source={Scopus},
    }
  • Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models

    Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 5, pp. 1391-1414, 2017.

    By L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Truquet20171391,
    author={Truquet, L.},
    title={Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2017},
    volume={79},
    number={5},
    pages={1391-1414},
    doi={10.1111/rssb.12221},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85004045082&doi=10.1111%2frssb.12221&partnerID=40&md5=267a6f2d9a8074d2ca31f6d240ee5ec8},
    document_type={Article},
    source={Scopus},
    }

2016

  • A decision support system for vine growers based on a bayesian network

    Journal of agricultural, biological, and environmental statistics, vol. 21, iss. 1, pp. 131-151, 2016.

    By P. Abbal, J. -M. Sablayrolles, É. Matzner-Lober, J. -M. Boursiquot, C. Baudrit, and A. Carbonneau

    [DOI] [Bibtex]

    @ARTICLE{Abbal2016131,
    author={Abbal, P. and Sablayrolles, J.-M. and Matzner-Lober, É. and Boursiquot, J.-M. and Baudrit, C. and Carbonneau, A.},
    title={A Decision Support System for Vine Growers Based on a Bayesian Network},
    journal={Journal of Agricultural, Biological, and Environmental Statistics},
    year={2016},
    volume={21},
    number={1},
    pages={131-151},
    doi={10.1007/s13253-015-0233-2},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958048752&doi=10.1007%2fs13253-015-0233-2&partnerID=40&md5=5fc2461994386f77ffe4869aa04ca86d},
    document_type={Article},
    source={Scopus},
    }
  • On the properties of variational approximations of Gibbs posteriors

    Journal of machine learning research, vol. 17, iss. None, pp. 1-41, 2016.

    By P. Alquier, J. Ridgway, and N. Chopin

    [Bibtex]

    @ARTICLE{Alquier2016OnPosteriors,
    author = {Pierre Alquier and James Ridgway and Nicolas Chopin},
    title = {{On the properties of variational approximations of Gibbs posteriors}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {17},
    number = {None},
    pages = {1-41}}
  • On the properties of variational approximations of gibbs posteriors

    Journal of machine learning research, vol. 17, pp. 1-41, 2016.

    By P. Alquier, J. Ridgway, and N. Chopin

    [Bibtex]

    @ARTICLE{Alquier20161,
    author={Alquier, P. and Ridgway, J. and Chopin, N.},
    title={On the properties of variational approximations of Gibbs posteriors},
    journal={Journal of Machine Learning Research},
    year={2016},
    volume={17},
    pages={1-41},
    note={cited By 24},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011655065&partnerID=40&md5=f67f381d1208016bb226006c552d1502},
    document_type={Review},
    source={Scopus},
    }
  • Choice of v for V-fold cross-validation in least-squares density estimation

    Journal of machine learning research, vol. 17, iss. None, pp. 1-50, 2016.

    By S. Arlot and M. Lerasle

    [Bibtex]

    @ARTICLE{Arlot2016ChoiceEstimation,
    author = {Sylvain Arlot and Matthieu Lerasle},
    title = {{Choice of v for V-fold cross-validation in least-squares density estimation}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {17},
    number = {None},
    pages = {1-50}}
  • Choice of v for v-fold cross-validation in least-squares density estimation

    Journal of machine learning research, vol. 17, pp. 1-50, 2016.

    By S. Arlot and M. Lerasle

    [Bibtex]

    @ARTICLE{Arlot20161,
    author={Arlot, S. and Lerasle, M.},
    title={Choice of v for V-fold cross-validation in least-squares density estimation},
    journal={Journal of Machine Learning Research},
    year={2016},
    volume={17},
    pages={1-50},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008312062&partnerID=40&md5=3ca72577839bdff3ad19b3bd94b3fb7e},
    document_type={Article},
    source={Scopus},
    }
  • Highly-smooth zero-th order online optimization

    Journal of machine learning research, vol. 49, iss. June, pp. 257-283, 2016.

    By F. Bach and V. Perchet

    [Bibtex]

    @ARTICLE{Bach2016Highly-SmoothOptimization,
    author = {Francis Bach and Vianney Perchet},
    title = {{Highly-smooth zero-th order online optimization}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {49},
    number = {June},
    pages = {257-283}}
  • Highly-smooth zero-th order online optimization

    Journal of machine learning research, vol. 49, iss. June, pp. 257-283, 2016.

    By F. Bach and V. Perchet

    [Bibtex]

    @ARTICLE{Bach2016257,
    author={Bach, F. and Perchet, V.},
    title={Highly-smooth zero-th order online optimization},
    journal={Journal of Machine Learning Research},
    year={2016},
    volume={49},
    number={June},
    pages={257-283},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072242088&partnerID=40&md5=424dc5ac75c56eb0ee21af422a235404},
    document_type={Conference Paper},
    source={Scopus},
    }
  • On estimation of the diagonal elements of a sparse precision matrix

    Electronic journal of statistics, vol. 10, iss. 1, pp. 1551-1579, 2016.

    By S. Balmand and A. S. Dalalyan

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    @ARTICLE{Balmand20161551,
    author={Balmand, S. and Dalalyan, A.S.},
    title={On estimation of the diagonal elements of a sparse precision matrix},
    journal={Electronic Journal of Statistics},
    year={2016},
    volume={10},
    number={1},
    pages={1551-1579},
    doi={10.1214/16-EJS1148},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973351698&doi=10.1214%2f16-EJS1148&partnerID=40&md5=0d87b2626caf9d456d3e00d4eec252f7},
    document_type={Article},
    source={Scopus},
    }
  • An ℓ1, ℓ2, ℓ-regularization approach to high-dimensional errors-in-variables models

    Electronic journal of statistics, vol. 10, iss. 2, pp. 1729-1750, 2016.

    By A. Belloni, M. Rosenbaum, and A. B. Tsybakov

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    @ARTICLE{Belloni20161729,
    author={Belloni, A. and Rosenbaum, M. and Tsybakov, A.B.},
    title={An {ℓ1, ℓ2, ℓ}-regularization approach to high-dimensional errors-in-variables models},
    journal={Electronic Journal of Statistics},
    year={2016},
    volume={10},
    number={2},
    pages={1729-1750},
    doi={10.1214/15-EJS1095},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978696374&doi=10.1214%2f15-EJS1095&partnerID=40&md5=d431a664d415922fac31faa87ca28276},
    document_type={Article},
    source={Scopus},
    }
  • Wasserstein barycentric coordinates: histogram regression using optimal transport

    Acm transactions on graphics, vol. 35, iss. 4, 2016.

    By N. Bonneel, G. Peyre, and M. Cuturi

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    @ARTICLE{Bonneel2016,
    author={Bonneel, N. and Peyre, G. and Cuturi, M.},
    title={Wasserstein barycentric coordinates: Histogram regression using optimal transport},
    journal={ACM Transactions on Graphics},
    year={2016},
    volume={35},
    number={4},
    doi={10.1145/2897824.2925918},
    art_number={a71},
    note={cited By 32},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979970338&doi=10.1145%2f2897824.2925918&partnerID=40&md5=e3210d9442e9affc2140723e6a53d159},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Adaptive estimation of convex and polytopal density support

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    By V. -E. Brunel

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    @ARTICLE{Brunel20161,
    author={Brunel, V.-E.},
    title={Adaptive estimation of convex and polytopal density support},
    journal={Probability Theory and Related Fields},
    year={2016},
    volume={164},
    number={1-2},
    pages={1-16},
    doi={10.1007/s00440-014-0605-5},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955411155&doi=10.1007%2fs00440-014-0605-5&partnerID=40&md5=5cf42f5bd36613dd43b5283f5e9586fa},
    document_type={Article},
    source={Scopus},
    }
  • Sharp detection of smooth signals in a high-dimensional sparsematrix with indirect observations

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    By C. Butucea and G. Gayraud

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    @ARTICLE{Butucea20161564,
    author={Butucea, C. and Gayraud, G.},
    title={Sharp detection of smooth signals in a high-dimensional sparsematrix with indirect observations},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2016},
    volume={52},
    number={4},
    pages={1564-1591},
    doi={10.1214/15-AIHP689},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997079514&doi=10.1214%2f15-AIHP689&partnerID=40&md5=a52181e209ae86ec809819137666d527},
    document_type={Article},
    source={Scopus},
    }
  • Erratum: spectral thresholding quantum tomography for low rank states (new journal of physics (2015) 17 (113050))

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    By C. Butucea, M. Guta, and T. Kypraios

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    @ARTICLE{Butucea2016,
    author={Butucea, C. and Guta, M. and Kypraios, T.},
    title={Erratum: Spectral thresholding quantum tomography for low rank states (New Journal of Physics (2015) 17 (113050))},
    journal={New Journal of Physics},
    year={2016},
    volume={18},
    number={6},
    doi={10.1088/1367-2630/18/6/069501},
    art_number={069501},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976877594&doi=10.1088%2f1367-2630%2f18%2f6%2f069501&partnerID=40&md5=cddd751581e3630167f4290dc70a047d},
    document_type={Erratum},
    source={Scopus},
    }
  • Sharp minimax tests for large toeplitz covariance matrices with repeated observations

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    By C. Butucea and R. Zgheib

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    @ARTICLE{Butucea2016164,
    author={Butucea, C. and Zgheib, R.},
    title={Sharp minimax tests for large Toeplitz covariance matrices with repeated observations},
    journal={Journal of Multivariate Analysis},
    year={2016},
    volume={146},
    pages={164-176},
    doi={10.1016/j.jmva.2015.09.003},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951805901&doi=10.1016%2fj.jmva.2015.09.003&partnerID=40&md5=a66ac7661c4709619f26eb02f81a497c},
    document_type={Article},
    source={Scopus},
    }
  • Sharp minimax tests for large covariance matrices and adaptation

    Electronic journal of statistics, vol. 10, iss. 2, pp. 1927-1972, 2016.

    By C. Butucea and R. Zgheib

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    @ARTICLE{Butucea20161927,
    author={Butucea, C. and Zgheib, R.},
    title={Sharp minimax tests for large covariance matrices and adaptation},
    journal={Electronic Journal of Statistics},
    year={2016},
    volume={10},
    number={2},
    pages={1927-1972},
    doi={10.1214/16-EJS1143},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978698631&doi=10.1214%2f16-EJS1143&partnerID=40&md5=c1fd27b141d707a87ff494d3ac36df57},
    document_type={Article},
    source={Scopus},
    }
  • Minimax rates in permutation estimation for feature matching

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    By O. Collier and A. S. Dalalyan

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    @ARTICLE{Collier2016MinimaxMatching,
    author = {Olivier Collier and Arnak S. Dalalyan},
    title = {{Minimax rates in permutation estimation for feature matching}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {17},
    number = {None},
    pages = {-}}
  • Minimax rates in permutation estimation for feature matching

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    By O. Collier and A. S. Dalalyan

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    @ARTICLE{Collier2016,
    author={Collier, O. and Dalalyan, A.S.},
    title={Minimax rates in permutation estimation for feature matching},
    journal={Journal of Machine Learning Research},
    year={2016},
    volume={17},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962408596&partnerID=40&md5=b764c60aedeb371c5686be2acc2c6ad2},
    document_type={Article},
    source={Scopus},
    }
  • A smoothed dual approach for variational wasserstein problems

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    By M. Cuturi and G. Peyre

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    @ARTICLE{Cuturi2016320,
    author={Cuturi, M. and Peyre, G.},
    title={A smoothed dual approach for variational wasserstein problems},
    journal={SIAM Journal on Imaging Sciences},
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    volume={9},
    number={1},
    pages={320-343},
    doi={10.1137/15M1032600},
    note={cited By 46},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962147170&doi=10.1137%2f15M1032600&partnerID=40&md5=1a4f7c76350f2bdfc603449c9a78f4a6},
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    }
  • Sub-gaussian mean estimators

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    By L. Devroye, M. Lerasle, G. Lugosi, and R. I. Oliveira

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    @ARTICLE{Devroye20162695,
    author={Devroye, L. and Lerasle, M. and Lugosi, G. and Oliveira, R.I.},
    title={Sub-Gaussian mean estimators},
    journal={Annals of Statistics},
    year={2016},
    volume={44},
    number={6},
    pages={2695-2725},
    doi={10.1214/16-AOS1440},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999767783&doi=10.1214%2f16-AOS1440&partnerID=40&md5=9e0a4d1453c1e209b6aafe5607025ed7},
    document_type={Article},
    source={Scopus},
    }
  • Online learning and blackwell approachability in quitting games

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    By J. Flesch, R. Laraki, and V. Perchet

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    @ARTICLE{Flesch2016OnlineGames,
    author = {János Flesch and Rida Laraki and Vianney Perchet},
    title = {{Online learning and blackwell approachability in quitting games}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {49},
    number = {June},
    pages = {941-942}}
  • Online learning and blackwell approachability in quitting games

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    By J. Flesch, R. Laraki, and V. Perchet

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    @ARTICLE{Flesch2016941,
    author={Flesch, J. and Laraki, R. and Perchet, V.},
    title={Online learning and blackwell approachability in quitting games},
    journal={Journal of Machine Learning Research},
    year={2016},
    volume={49},
    number={June},
    pages={941-942},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072265218&partnerID=40&md5=8cbd34ada7d68258ebee12aeb0804c5f},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Family-wise separation rates for multiple testing

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    @ARTICLE{Fromont20162533,
    author={Fromont, M. and Lerasle, M. and Reynaud-Bouret, P.},
    title={Family-wise separation rates for multiple testing},
    journal={Annals of Statistics},
    year={2016},
    volume={44},
    number={6},
    pages={2533-2563},
    doi={10.1214/15-AOS1418},
    note={cited By 2},
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    }
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    title={Illumination problems in digital images. A statistical point of view},
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    year={2016},
    volume={150},
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    doi={10.1016/j.jmva.2016.05.001},
    note={cited By 1},
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    author={Guillou, F. and Gaudel, R. and Preux, P.},
    title={Large-scale bandit recommender system},
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    year={2016},
    volume={10122 LNCS},
    pages={204-215},
    doi={10.1007/978-3-319-51469-7_17},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009495393&doi=10.1007%2f978-3-319-51469-7_17&partnerID=40&md5=8f40e93127b9bcc4159e36adeaf5686b},
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    @ARTICLE{Guillou2016288,
    author={Guillou, F. and Gaudel, R. and Preux, P.},
    title={Sequential collaborative ranking using (No-)click implicit feedback},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2016},
    volume={9948 LNCS},
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    note={cited By 0},
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  • Statistical estimation of the residential baseline

    Ieee transactions on power systems, vol. 31, iss. 3, pp. 1752-1759, 2016.

    By L. Hatton, P. Charpentier, and E. Matzner-Lober

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    @ARTICLE{Hatton20161752,
    author={Hatton, L. and Charpentier, P. and Matzner-Lober, E.},
    title={Statistical Estimation of the Residential Baseline},
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    pages={1752-1759},
    doi={10.1109/TPWRS.2015.2453889},
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    note={cited By 32},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940702161&doi=10.1109%2fTPWRS.2015.2453889&partnerID=40&md5=e87f72a022f5b68b2379e39fee40811e},
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  • Semiparametric efficiency bounds for conditional moment restriction models with different conditioning variables

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    By M. Hristache and V. Patilea

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    @ARTICLE{Hristache2016917,
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    title={SEMIPARAMETRIC EFFICIENCY BOUNDS for CONDITIONAL MOMENT RESTRICTION MODELS with DIFFERENT CONDITIONING VARIABLES},
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    note={cited By 4},
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  • Estimation of low-rank covariance function

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    By V. Koltchinskii, K. Lounici, and A. B. Tsybakov

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    author={Koltchinskii, V. and Lounici, K. and Tsybakov, A.B.},
    title={Estimation of low-rank covariance function},
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    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969964130&doi=10.1016%2fj.spa.2016.04.006&partnerID=40&md5=1e3350a5864e8537e16742ef89b95e9d},
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  • Gains and losses are fundamentally different in regret minimization: The sparse case

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    By J. Kwon and V. Perchet

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    @ARTICLE{Kwon2016GainsCase,
    author = {Joon Kwon and Vianney Perchet},
    title = {{Gains and losses are fundamentally different in regret minimization: The sparse case}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {17},
    number = {None},
    pages = {1-32}}
  • Gains and losses are fundamentally different in regret minimization: the sparse case

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    By J. Kwon and V. Perchet

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    @ARTICLE{Kwon20161,
    author={Kwon, J. and Perchet, V.},
    title={Gains and losses are fundamentally different in regret minimization: The sparse case},
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    volume={17},
    pages={1-32},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008323985&partnerID=40&md5=6c62f9c689961a2ffe30a3609a550ce3},
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    }
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    author={Lecue, G. and Mendelson, S.},
    title={Performance of empirical risk minimization in linear aggregation},
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    doi={10.3150/15-BEJ701},
    note={cited By 7},
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  • Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields

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    @ARTICLE{Lerasle2016325,
    author={Lerasle, M. and Takahashi, D.Y.},
    title={Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields},
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    note={cited By 3},
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  • Quantitative analysis of dynamic fault trees based on the coupling of structure functions and monte carlo simulation

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    author={Merle, G. and Roussel, J.-M. and Lesage, J.-J. and Perchet, V. and Vayatis, N.},
    title={Quantitative Analysis of Dynamic Fault Trees Based on the Coupling of Structure Functions and Monte Carlo Simulation},
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    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955584151&doi=10.1002%2fqre.1728&partnerID=40&md5=9bc68ee68525f2ec3f7383c70bf32a76},
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  • Testing the predictor effect on a functional response

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    number={516},
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    doi={10.1080/01621459.2015.1110031},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010676976&doi=10.1080%2f01621459.2015.1110031&partnerID=40&md5=166278f9442de5c90d5802f27a52ebe9},
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  • Batched bandit problems

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    title={Batched bandit problems},
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    }
  • Accelerated partial breast irradiation using robotic radiotherapy: a dosimetric comparison with tomotherapy and threedimensional conformal radiotherapy

    Radiation oncology, vol. 11, iss. 1, 2016.

    By E. Rault, T. Lacornerie, H. -P. Dang, F. Crop, E. Lartigau, N. Reynaert, and D. Pasquier

    [DOI] [Bibtex]

    @ARTICLE{Rault2016,
    author={Rault, E. and Lacornerie, T. and Dang, H.-P. and Crop, F. and Lartigau, E. and Reynaert, N. and Pasquier, D.},
    title={Accelerated partial breast irradiation using robotic radiotherapy: A dosimetric comparison with tomotherapy and threedimensional conformal radiotherapy},
    journal={Radiation Oncology},
    year={2016},
    volume={11},
    number={1},
    doi={10.1186/S13014-016-0607-9},
    art_number={29},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007507178&doi=10.1186%2fS13014-016-0607-9&partnerID=40&md5=32375ce55b8082d3b5276e2aefc44bd2},
    document_type={Article},
    source={Scopus},
    }
  • Discussion of “influential features pca for high dimensional clustering”

    Annals of statistics, vol. 44, iss. 6, pp. 2382-2386, 2016.

    By N. A. Stepanova and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Stepanova20162382,
    author={Stepanova, N.A. and Tsybakov, A.B.},
    title={Discussion of "influential features PCA for high dimensional clustering"},
    journal={Annals of Statistics},
    year={2016},
    volume={44},
    number={6},
    pages={2382-2386},
    doi={10.1214/16-AOS1423D},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999648344&doi=10.1214%2f16-AOS1423D&partnerID=40&md5=8459299f242c9e8d2aba3e9f09ec62c5},
    document_type={Article},
    source={Scopus},
    }
  • Estimating the conditional extreme-value index under random right-censoring

    Journal of multivariate analysis, vol. 144, pp. 1-24, 2016.

    By G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Stupfler20161,
    author={Stupfler, G.},
    title={Estimating the conditional extreme-value index under random right-censoring},
    journal={Journal of Multivariate Analysis},
    year={2016},
    volume={144},
    pages={1-24},
    doi={10.1016/j.jmva.2015.10.015},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947726629&doi=10.1016%2fj.jmva.2015.10.015&partnerID=40&md5=1b59f87c96f33002d300643e7b50c73a},
    document_type={Article},
    source={Scopus},
    }
  • On the weak convergence of the kernel density estimator in the uniform topology

    Electronic communications in probability, vol. 21, 2016.

    By G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Stupfler2016,
    author={Stupfler, G.},
    title={On the weak convergence of the kernel density estimator in the uniform topology},
    journal={Electronic Communications in Probability},
    year={2016},
    volume={21},
    doi={10.1214/16-ECP4638},
    art_number={17},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964319597&doi=10.1214%2f16-ECP4638&partnerID=40&md5=0bf5ac9461818dd1e7905ac6c104820b},
    document_type={Article},
    source={Scopus},
    }
  • Discussion of “estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation”

    Electronic journal of statistics, vol. 10, iss. 1, pp. 67-70, 2016.

    By A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Tsybakov201667,
    author={Tsybakov, A.B.},
    title={Discussion of “estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation”},
    journal={Electronic Journal of Statistics},
    year={2016},
    volume={10},
    number={1},
    pages={67-70},
    doi={10.1214/15-EJS1081A},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84975770517&doi=10.1214%2f15-EJS1081A&partnerID=40&md5=1d4429e3c80d5bc2dd5fca7f61acb75f},
    document_type={Article},
    source={Scopus},
    }
  • Online learning in repeated auctions

    Journal of machine learning research, vol. 49, iss. June, pp. 1562-1583, 2016.

    By J. Weed, V. Perchet, and P. Rigollet

    [Bibtex]

    @ARTICLE{Weed2016OnlineAuctions,
    author = {Jonathan Weed and Vianney Perchet and Philippe Rigollet},
    title = {{Online learning in repeated auctions}},
    journal = {Journal of Machine Learning Research},
    year = {2016},
    volume = {49},
    number = {June},
    pages = {1562-1583}}
  • Online learning in repeated auctions

    Journal of machine learning research, vol. 49, iss. June, pp. 1562-1583, 2016.

    By J. Weed, V. Perchet, and P. Rigollet

    [Bibtex]

    @ARTICLE{Weed20161562,
    author={Weed, J. and Perchet, V. and Rigollet, P.},
    title={Online learning in repeated auctions},
    journal={Journal of Machine Learning Research},
    year={2016},
    volume={49},
    number={June},
    pages={1562-1583},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072249507&partnerID=40&md5=e7f4dddef042a16b333db523d08ac7f7},
    document_type={Conference Paper},
    source={Scopus},
    }

2015

  • The poisson transform for unnormalised statistical models

    Statistics and computing, vol. 25, iss. 4, pp. 767-780, 2015.

    By S. Barthelme and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Barthelme2015767,
    author={Barthelme, S. and Chopin, N.},
    title={The Poisson transform for unnormalised statistical models},
    journal={Statistics and Computing},
    year={2015},
    volume={25},
    number={4},
    pages={767-780},
    doi={10.1007/s11222-015-9559-4},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84932197246&doi=10.1007%2fs11222-015-9559-4&partnerID=40&md5=b72ea5745b4489be4abe5b6e22a32426},
    document_type={Article},
    source={Scopus},
    }
  • Sharp oracle bounds for monotone and convex regression through aggregation

    Journal of machine learning research, vol. 16, iss. None, pp. 1879-1892, 2015.

    By P. C. Bellec and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Bellec2015SharpAggregation,
    author = {Pierre C. Bellec and Alexandre B. Tsybakov},
    title = {{Sharp oracle bounds for monotone and convex regression through aggregation}},
    journal = {Journal of Machine Learning Research},
    year = {2015},
    volume = {16},
    number = {None},
    pages = {1879-1892}}
  • Sharp oracle bounds for monotone and convex regression through aggregation

    Journal of machine learning research, vol. 16, pp. 1879-1892, 2015.

    By P. C. Bellec and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Bellec20151879,
    author={Bellec, P.C. and Tsybakov, A.B.},
    title={Sharp oracle bounds for monotone and convex regression through aggregation},
    journal={Journal of Machine Learning Research},
    year={2015},
    volume={16},
    pages={1879-1892},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962299803&partnerID=40&md5=0a64d6045c2b171dea31e6170b597172},
    document_type={Article},
    source={Scopus},
    }
  • Iterative bregman projections for regularized transportation problems

    Siam journal on scientific computing, vol. 37, iss. 2, p. A1111-A1138, 2015.

    By J. -D. Benamou, G. Carlier, M. Cuturi, L. Nenna, and G. Peyŕ

    [DOI] [Bibtex]

    @ARTICLE{Benamou2015A1111,
    author={Benamou, J.-D. and Carlier, G. and Cuturi, M. and Nenna, L. and Peyŕ, G.},
    title={Iterative bregman projections for regularized transportation problems},
    journal={SIAM Journal on Scientific Computing},
    year={2015},
    volume={37},
    number={2},
    pages={A1111-A1138},
    doi={10.1137/141000439},
    note={cited By 193},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928966855&doi=10.1137%2f141000439&partnerID=40&md5=38da96d9a1ea0c6054d00bfc7e942a82},
    document_type={Article},
    source={Scopus},
    }
  • A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density

    Statistics and probability letters, vol. 105, pp. 6-13, 2015.

    By I. Bulla, C. Chesneau, F. Navarro, and T. Mark

    [DOI] [Bibtex]

    @ARTICLE{Bulla20156,
    author={Bulla, I. and Chesneau, C. and Navarro, F. and Mark, T.},
    title={A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density},
    journal={Statistics and Probability Letters},
    year={2015},
    volume={105},
    pages={6-13},
    doi={10.1016/j.spl.2015.02.024},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934892307&doi=10.1016%2fj.spl.2015.02.024&partnerID=40&md5=e89a17595eaf9665c081218e759ad00d},
    document_type={Article},
    source={Scopus},
    }
  • Spectral thresholding quantum tomography for low rank states

    New journal of physics, vol. 17, iss. 11, 2015.

    By C. Butucea, M. Guţə, and T. Kypraios

    [DOI] [Bibtex]

    @ARTICLE{Butucea2015,
    author={Butucea, C. and Guţə, M. and Kypraios, T.},
    title={Spectral thresholding quantum tomography for low rank states},
    journal={New Journal of Physics},
    year={2015},
    volume={17},
    number={11},
    doi={10.1088/1367-2630/17/11/113050},
    art_number={113050},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951299096&doi=10.1088%2f1367-2630%2f17%2f11%2f113050&partnerID=40&md5=2f6b8b83a001fc56d7de4ff26c803e1d},
    document_type={Article},
    source={Scopus},
    }
  • Maximum entropy copula with given diagonal section

    Journal of multivariate analysis, vol. 137, pp. 61-81, 2015.

    By C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer

    [DOI] [Bibtex]

    @ARTICLE{Butucea201561,
    author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
    title={Maximum entropy copula with given diagonal section},
    journal={Journal of Multivariate Analysis},
    year={2015},
    volume={137},
    pages={61-81},
    doi={10.1016/j.jmva.2015.01.003},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925635439&doi=10.1016%2fj.jmva.2015.01.003&partnerID=40&md5=809b07798d120accb8dce9b829f61d1d},
    document_type={Article},
    source={Scopus},
    }
  • Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix

    Esaim – probability and statistics, vol. 19, pp. 115-134, 2015.

    By C. Butucea, Y. I. Ingster, and I. A. Suslina

    [DOI] [Bibtex]

    @ARTICLE{Butucea2015115,
    author={Butucea, C. and Ingster, Y.I. and Suslina, I.A.},
    title={Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix},
    journal={ESAIM - Probability and Statistics},
    year={2015},
    volume={19},
    pages={115-134},
    doi={10.1051/ps/2014017},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933532407&doi=10.1051%2fps%2f2014017&partnerID=40&md5=ca6e07028aeeae465e9875fdede9bf37},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric regression estimation onto a poisson point process covariate

    Esaim – probability and statistics, vol. 19, pp. 251-267, 2015.

    By B. Cadre and L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Cadre2015251,
    author={Cadre, B. and Truquet, L.},
    title={Nonparametric regression estimation onto a Poisson point process covariate},
    journal={ESAIM - Probability and Statistics},
    year={2015},
    volume={19},
    pages={251-267},
    doi={10.1051/ps/2014023},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943775262&doi=10.1051%2fps%2f2014023&partnerID=40&md5=64d6ea3fed91d3e64113b85f66ef252a},
    document_type={Article},
    source={Scopus},
    }
  • Estimation of convolution in the model with noise

    Journal of nonparametric statistics, vol. 27, iss. 3, pp. 286-315, 2015.

    By C. Chesneau, F. Comte, G. Mabon, and F. Navarro

    [DOI] [Bibtex]

    @ARTICLE{Chesneau2015286,
    author={Chesneau, C. and Comte, F. and Mabon, G. and Navarro, F.},
    title={Estimation of convolution in the model with noise},
    journal={Journal of Nonparametric Statistics},
    year={2015},
    volume={27},
    number={3},
    pages={286-315},
    doi={10.1080/10485252.2015.1041944},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938745821&doi=10.1080%2f10485252.2015.1041944&partnerID=40&md5=ec8280238debd4d78fb2463a3e3019f3},
    document_type={Article},
    source={Scopus},
    }
  • On particle gibbs sampling

    Bernoulli, vol. 21, iss. 3, pp. 1855-1883, 2015.

    By N. Chopin and S. S. Singh

    [DOI] [Bibtex]

    @ARTICLE{Chopin20151855,
    author={Chopin, N. and Singh, S.S.},
    title={On particle Gibbs sampling},
    journal={Bernoulli},
    year={2015},
    volume={21},
    number={3},
    pages={1855-1883},
    doi={10.3150/14-BEJ629},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938651689&doi=10.3150%2f14-BEJ629&partnerID=40&md5=12104efb98533c8d9dc7ec8ee7f9f8eb},
    document_type={Article},
    source={Scopus},
    }
  • Curve registration by nonparametric goodness-of-fit testing

    Journal of statistical planning and inference, vol. 162, pp. 20-42, 2015.

    By O. Collier and A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Collier201520,
    author={Collier, O. and Dalalyan, A.S.},
    title={Curve registration by nonparametric goodness-of-fit testing},
    journal={Journal of Statistical Planning and Inference},
    year={2015},
    volume={162},
    pages={20-42},
    doi={10.1016/j.jspi.2015.02.004},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925292554&doi=10.1016%2fj.jspi.2015.02.004&partnerID=40&md5=7f1918c8e66e25898721c455473305b9},
    document_type={Article},
    source={Scopus},
    }
  • Discussion of “hypotheses testing by convex optimization”

    Electronic journal of statistics, vol. 9, iss. 2, pp. 1733-1737, 2015.

    By A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan20151733,
    author={Dalalyan, A.S.},
    title={Discussion of “hypotheses testing by convex optimization”},
    journal={Electronic Journal of Statistics},
    year={2015},
    volume={9},
    number={2},
    pages={1733-1737},
    doi={10.1214/15-EJS994},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939532993&doi=10.1214%2f15-EJS994&partnerID=40&md5=d6243b780fa7505f34726bd0be1ffc12},
    document_type={Article},
    source={Scopus},
    }
  • Confidence sets for classification

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9047, pp. 301-312, 2015.

    By C. Denis and M. Hebiri

    [DOI] [Bibtex]

    @ARTICLE{Denis2015301,
    author={Denis, C. and Hebiri, M.},
    title={Confidence sets for classification},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2015},
    volume={9047},
    pages={301-312},
    doi={10.1007/978-3-319-17091-6_25},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949759349&doi=10.1007%2f978-3-319-17091-6_25&partnerID=40&md5=1b7589a0daffa19002863fd051737337},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Erratum: estimating extreme quantiles under random truncation [test, doi 10.1007/s11749-014-0403-5]

    Test, vol. 24, iss. 2, p. 228, 2015.

    By L. Gardes and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Gardes2015228,
    author={Gardes, L. and Stupfler, G.},
    title={Erratum: Estimating extreme quantiles under random truncation [TEST, DOI 10.1007/s11749-014-0403-5]},
    journal={Test},
    year={2015},
    volume={24},
    number={2},
    pages={228},
    doi={10.1007/s11749-015-0437-3},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929844137&doi=10.1007%2fs11749-015-0437-3&partnerID=40&md5=12c9ab5ae20d2320e17052369c3de2c9},
    document_type={Erratum},
    source={Scopus},
    }
  • Estimating extreme quantiles under random truncation

    Test, vol. 24, iss. 2, pp. 207-227, 2015.

    By L. Gardes and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Gardes2015207,
    author={Gardes, L. and Stupfler, G.},
    title={Estimating extreme quantiles under random truncation},
    journal={Test},
    year={2015},
    volume={24},
    number={2},
    pages={207-227},
    doi={10.1007/s11749-014-0403-5},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929843318&doi=10.1007%2fs11749-014-0403-5&partnerID=40&md5=08b7152e6d3c100e1b395df4007757df},
    document_type={Article},
    source={Scopus},
    }
  • Sequential quasi monte carlo

    Journal of the royal statistical society. series b: statistical methodology, vol. 77, iss. 3, pp. 509-579, 2015.

    By M. Gerber and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Gerber2015509,
    author={Gerber, M. and Chopin, N.},
    title={Sequential quasi Monte Carlo},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2015},
    volume={77},
    number={3},
    pages={509-579},
    doi={10.1111/rssb.12104},
    note={cited By 56},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929149762&doi=10.1111%2frssb.12104&partnerID=40&md5=8bb5aa880c9948f143aad00cc4632aec},
    document_type={Article},
    source={Scopus},
    }
  • Extreme geometric quantiles in a multivariate regular variation framework

    Extremes, vol. 18, iss. 4, pp. 629-663, 2015.

    By S. Girard and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Girard2015629,
    author={Girard, S. and Stupfler, G.},
    title={Extreme geometric quantiles in a multivariate regular variation framework},
    journal={Extremes},
    year={2015},
    volume={18},
    number={4},
    pages={629-663},
    doi={10.1007/s10687-015-0226-0},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946494095&doi=10.1007%2fs10687-015-0226-0&partnerID=40&md5=0c93f9a55bd531ea42b4b9e43d879043},
    document_type={Article},
    source={Scopus},
    }
  • Uniform asymptotic properties of a nonparametric regression estimator of conditional tails

    Annales de l’institut henri poincare (b) probability and statistics, vol. 51, iss. 3, pp. 1190-1213, 2015.

    By Y. Goegebeur, A. Guillou, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Goegebeur20151190,
    author={Goegebeur, Y. and Guillou, A. and Stupfler, G.},
    title={Uniform asymptotic properties of a nonparametric regression estimator of conditional tails},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2015},
    volume={51},
    number={3},
    pages={1190-1213},
    doi={10.1214/14-AIHP624},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936972964&doi=10.1214%2f14-AIHP624&partnerID=40&md5=c60048d8cc2d76a7f47efa30175faa57},
    document_type={Article},
    source={Scopus},
    }
  • Fast optimal transport averaging of neuroimaging data

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9123, pp. 261-272, 2015.

    By A. Gramfort, G. Peyre, and M. Cuturi

    [DOI] [Bibtex]

    @ARTICLE{Gramfort2015261,
    author={Gramfort, A. and Peyre, G. and Cuturi, M.},
    title={Fast optimal transport averaging of neuroimaging data},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2015},
    volume={9123},
    pages={261-272},
    doi={10.1007/978-3-319-19992-4_20},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983681749&doi=10.1007%2f978-3-319-19992-4_20&partnerID=40&md5=e5252f667c711c79836e1065d9f104b4},
    document_type={Conference Paper},
    source={Scopus},
    }
  • On particle methods for parameter estimation in state-space models

    Statistical science, vol. 30, iss. 3, pp. 328-351, 2015.

    By N. Kantas, A. Doucet, S. S. Singh, J. Maciejowski, and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Kantas2015328,
    author={Kantas, N. and Doucet, A. and Singh, S.S. and Maciejowski, J. and Chopin, N.},
    title={On particle methods for parameter estimation in state-space models},
    journal={Statistical Science},
    year={2015},
    volume={30},
    number={3},
    pages={328-351},
    doi={10.1214/14-STS511},
    note={cited By 158},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931459778&doi=10.1214%2f14-STS511&partnerID=40&md5=b80e24a9f5d0a541a907ae1a5db81280},
    document_type={Article},
    source={Scopus},
    }
  • Estimation of matrices with row sparsity

    Problems of information transmission, vol. 51, iss. 4, pp. 335-348, 2015.

    By O. Klopp and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Klopp2015335,
    author={Klopp, O. and Tsybakov, A.B.},
    title={Estimation of matrices with row sparsity},
    journal={Problems of Information Transmission},
    year={2015},
    volume={51},
    number={4},
    pages={335-348},
    doi={10.1134/S0032946015040031},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952939495&doi=10.1134%2fS0032946015040031&partnerID=40&md5=1d44421d8eb21c646a858a5a04b2b876},
    document_type={Article},
    source={Scopus},
    }
  • A significance test for covariates in nonparametric regression

    Electronic journal of statistics, vol. 9, pp. 643-678, 2015.

    By P. Lavergne, S. Maistre, and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Lavergne2015643,
    author={Lavergne, P. and Maistre, S. and Patilea, V.},
    title={A significance test for covariates in nonparametric regression},
    journal={Electronic Journal of Statistics},
    year={2015},
    volume={9},
    pages={643-678},
    doi={10.1214/15-EJS1005},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926361151&doi=10.1214%2f15-EJS1005&partnerID=40&md5=0488aa122e8b1d24008f753976fa788a},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive euclidean maps for histograms: generalized aitchison embeddings

    Machine learning, vol. 99, iss. 2, pp. 169-187, 2015.

    By T. Le and M. Cuturi

    [DOI] [Bibtex]

    @ARTICLE{Le2015169,
    author={Le, T. and Cuturi, M.},
    title={Adaptive Euclidean maps for histograms: generalized Aitchison embeddings},
    journal={Machine Learning},
    year={2015},
    volume={99},
    number={2},
    pages={169-187},
    doi={10.1007/s10994-014-5446-z},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928236147&doi=10.1007%2fs10994-014-5446-z&partnerID=40&md5=f859ff80f8154cca10529ca3885434bc},
    document_type={Article},
    source={Scopus},
    }
  • Minimax rate of convergence and the performance of empirical risk minimization in phase retrieval

    Electronic journal of probability, vol. 20, pp. 1-27, 2015.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue20151,
    author={Lecue, G. and Mendelson, S.},
    title={Minimax rate of convergence and the performance of empirical risk minimization in phase retrieval},
    journal={Electronic Journal of Probability},
    year={2015},
    volume={20},
    pages={1-27},
    doi={10.1214/EJP.v20-3525},
    art_number={57},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934872978&doi=10.1214%2fEJP.v20-3525&partnerID=40&md5=235be8888f90797ceca8a11d8a5ed93f},
    document_type={Article},
    source={Scopus},
    }
  • Bandits and recommender systems

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9432, pp. 325-336, 2015.

    By J. Mary, R. Gaudel, and P. Preux

    [DOI] [Bibtex]

    @ARTICLE{Mary2015325,
    author={Mary, J. and Gaudel, R. and Preux, P.},
    title={Bandits and recommender systems},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2015},
    volume={9432},
    pages={325-336},
    doi={10.1007/978-3-319-27926-8_29},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955288517&doi=10.1007%2f978-3-319-27926-8_29&partnerID=40&md5=188a717cb629ffaeff339073bd36f474},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Transformations to symmetry based on the probability weighted characteristic function

    Kybernetika, vol. 51, iss. 4, pp. 571-587, 2015.

    By S. G. Meintanis and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Meintanis2015571,
    author={Meintanis, S.G. and Stupfler, G.},
    title={Transformations to symmetry based on the probability weighted characteristic function},
    journal={Kybernetika},
    year={2015},
    volume={51},
    number={4},
    pages={571-587},
    doi={10.14736/kyb-2015-4-0571},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946840385&doi=10.14736%2fkyb-2015-4-0571&partnerID=40&md5=9a582899e841f606535f9c7914dcffd7},
    document_type={Article},
    source={Scopus},
    }
  • On adaptive wavelet estimation of a class of weighted densities

    Communications in statistics: simulation and computation, vol. 44, iss. 8, pp. 2137-2150, 2015.

    By F. Navarro, C. Chesneau, and J. Fadili

    [DOI] [Bibtex]

    @ARTICLE{Navarro20152137,
    author={Navarro, F. and Chesneau, C. and Fadili, J.},
    title={On adaptive wavelet estimation of a class of weighted densities},
    journal={Communications in Statistics: Simulation and Computation},
    year={2015},
    volume={44},
    number={8},
    pages={2137-2150},
    doi={10.1080/03610918.2013.851216},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929223605&doi=10.1080%2f03610918.2013.851216&partnerID=40&md5=d121e18798f6311b545a7b0e7138f40e},
    document_type={Article},
    source={Scopus},
    }
  • Exponential weight approachability, applications to calibration and regret minimization

    Dynamic games and applications, vol. 5, iss. 1, pp. 136-153, 2015.

    By V. Perchet

    [DOI] [Bibtex]

    @ARTICLE{Perchet2015136,
    author={Perchet, V.},
    title={Exponential Weight Approachability, Applications to Calibration and Regret Minimization},
    journal={Dynamic Games and Applications},
    year={2015},
    volume={5},
    number={1},
    pages={136-153},
    doi={10.1007/s13235-014-0119-x},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923364326&doi=10.1007%2fs13235-014-0119-x&partnerID=40&md5=a693e145f0c19ab2369e2b6329cd2360},
    document_type={Article},
    source={Scopus},
    }
  • On a unified framework for approachability with full or partial monitoring

    Mathematics of operations research, vol. 40, iss. 3, pp. 596-610, 2015.

    By V. Perchet and M. Quincampoix

    [DOI] [Bibtex]

    @ARTICLE{Perchet2015596,
    author={Perchet, V. and Quincampoix, M.},
    title={On a unified framework for approachability with full or partial monitoring},
    journal={Mathematics of Operations Research},
    year={2015},
    volume={40},
    number={3},
    pages={596-610},
    doi={10.1287/moor.2014.0686},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937845676&doi=10.1287%2fmoor.2014.0686&partnerID=40&md5=500dfd7d11a928a4a2ede3148da303a1},
    document_type={Article},
    source={Scopus},
    }
  • Convolutional wasserstein distances: efficient optimal transportation on geometric domains

    Acm transactions on graphics, vol. 34, iss. 4, 2015.

    By J. Solomon, F. De Goes, G. Peyre, M. Cuturi, A. Butscher, A. Nguyen, T. Du, and L. Guibas

    [DOI] [Bibtex]

    @ARTICLE{Solomon2015,
    author={Solomon, J. and De Goes, F. and Peyre, G. and Cuturi, M. and Butscher, A. and Nguyen, A. and Du, T. and Guibas, L.},
    title={Convolutional Wasserstein distances: Efficient optimal transportation on geometric domains},
    journal={ACM Transactions on Graphics},
    year={2015},
    volume={34},
    number={4},
    doi={10.1145/2766963},
    art_number={66},
    note={cited By 176},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947219062&doi=10.1145%2f2766963&partnerID=40&md5=8f017bc192167039a89141dd160f428a},
    document_type={Conference Paper},
    source={Scopus},
    }

2014

  • On location mixtures with pólya frequency components

    Statistics and probability letters, vol. 95, pp. 144-149, 2014.

    By F. Balabdaoui and C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Balabdaoui2014144,
    author={Balabdaoui, F. and Butucea, C.},
    title={On location mixtures with Pólya frequency components},
    journal={Statistics and Probability Letters},
    year={2014},
    volume={95},
    pages={144-149},
    doi={10.1016/j.spl.2014.08.013},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954466580&doi=10.1016%2fj.spl.2014.08.013&partnerID=40&md5=208804ee0f257c582aa4fbbb3847e089},
    document_type={Article},
    source={Scopus},
    }
  • Expectation propagation for likelihood-free inference

    Journal of the american statistical association, vol. 109, iss. 505, pp. 315-333, 2014.

    By S. Barthelme and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Barthelme2014315,
    author={Barthelme, S. and Chopin, N.},
    title={Expectation propagation for likelihood-free inference},
    journal={Journal of the American Statistical Association},
    year={2014},
    volume={109},
    number={505},
    pages={315-333},
    doi={10.1080/01621459.2013.864178},
    note={cited By 36},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901815715&doi=10.1080%2f01621459.2013.864178&partnerID=40&md5=794ec11cc834769340aa9e61eacc7af5},
    document_type={Article},
    source={Scopus},
    }
  • Semiparametric mixtures of symmetric distributions

    Scandinavian journal of statistics, vol. 41, iss. 1, pp. 227-239, 2014.

    By C. Butucea and P. Vandekerkhove

    [DOI] [Bibtex]

    @ARTICLE{Butucea2014227,
    author={Butucea, C. and Vandekerkhove, P.},
    title={Semiparametric mixtures of symmetric distributions},
    journal={Scandinavian Journal of Statistics},
    year={2014},
    volume={41},
    number={1},
    pages={227-239},
    doi={10.1111/sjos.12015},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894249696&doi=10.1111%2fsjos.12015&partnerID=40&md5=7e7c22c9d2490094101670d6a14dd622},
    document_type={Article},
    source={Scopus},
    }
  • On the estimation of density-weighted average derivative by wavelet methods under various dependence structures

    Sankhya: the indian journal of statistics, vol. 76 A, iss. PART1, pp. 48-76, 2014.

    By C. Chesneau, F. Navarro, M. Kachour, and F. Navarro

    [Bibtex]

    @ARTICLE{Chesneau2014OnStructures,
    author = {Christophe Chesneau and Fabien Navarro and Maher Kachour and Fabien Navarro},
    title = {{On the estimation of density-weighted average derivative by wavelet methods under various dependence structures}},
    journal = {Sankhya: The Indian Journal of Statistics},
    year = {2014},
    volume = {76 A},
    number = {PART1},
    pages = {48-76}}
  • On a plug-in wavelet estimator for convolutions of densities

    Journal of statistical theory and practice, vol. 8, iss. 4, pp. 653-673, 2014.

    By C. Chesneau and F. Navarro

    [DOI] [Bibtex]

    @ARTICLE{Chesneau2014653,
    author={Chesneau, C. and Navarro, F.},
    title={On a plug-in wavelet estimator for convolutions of densities},
    journal={Journal of Statistical Theory and Practice},
    year={2014},
    volume={8},
    number={4},
    pages={653-673},
    doi={10.1080/15598608.2013.824824},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905374359&doi=10.1080%2f15598608.2013.824824&partnerID=40&md5=97bcd50dd74659eb2f493cc73cf3f9f1},
    document_type={Article},
    source={Scopus},
    }
  • On the estimation of density-weighted average derivative by wavelet methods under various dependence structures

    Sankhya: the indian journal of statistics, vol. 76 A, iss. PART1, pp. 48-76, 2014.

    By C. Chesneau, F. Navarro, M. Kachour, and F. Navarro

    [Bibtex]

    @ARTICLE{Chesneau201448,
    author={Chesneau, C. and Navarro, F. and Kachour, M. and Navarro, F.},
    title={On the estimation of density-weighted average derivative by wavelet methods under various dependence structures},
    journal={Sankhya: The Indian Journal of Statistics},
    year={2014},
    volume={76 A},
    number={PART1},
    pages={48-76},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893638165&partnerID=40&md5=4d95a9acc3a59bead29e8a438b24024b},
    document_type={Article},
    source={Scopus},
    }
  • On the estimation of density-weighted average derivative by wavelet methods under various dependence structures

    Sankhya a, vol. 76, iss. 1, pp. 48-76, 2014.

    By C. Chesneau, M. Kachour, and F. Navarro

    [DOI] [Bibtex]

    @ARTICLE{Chesneau201448,
    author={Chesneau, C. and Kachour, M. and Navarro, F.},
    title={On the estimation of density-weighted average derivative by wavelet methods under various dependence structures},
    journal={Sankhya A},
    year={2014},
    volume={76},
    number={1},
    pages={48-76},
    doi={10.1007/s13171-013-0032-1},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034601787&doi=10.1007%2fs13171-013-0032-1&partnerID=40&md5=ed2490b1a9dbb9e70d3ac2bb20ab658a},
    document_type={Article},
    source={Scopus},
    }
  • Ground metric learning

    Journal of machine learning research, vol. 15, iss. None, pp. 533-564, 2014.

    By M. Cuturi and D. Avis

    [Bibtex]

    @ARTICLE{Cuturi2014GroundLearning,
    author = {Marco Cuturi and David Avis},
    title = {{Ground metric learning}},
    journal = {Journal of Machine Learning Research},
    year = {2014},
    volume = {15},
    number = {None},
    pages = {533-564}}
  • Ground metric learning

    Journal of machine learning research, vol. 15, pp. 533-564, 2014.

    By M. Cuturi and D. Avis

    [Bibtex]

    @ARTICLE{Cuturi2014533,
    author={Cuturi, M. and Avis, D.},
    title={Ground metric learning},
    journal={Journal of Machine Learning Research},
    year={2014},
    volume={15},
    pages={533-564},
    note={cited By 36},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897046256&partnerID=40&md5=29f96657ea043158ea5178c084a61025},
    document_type={Article},
    source={Scopus},
    }
  • Statistical inference in compound functional models

    Probability theory and related fields, vol. 158, iss. 3-4, pp. 513-532, 2014.

    By A. Dalalyan, Y. Ingster, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan2014513,
    author={Dalalyan, A. and Ingster, Y. and Tsybakov, A.B.},
    title={Statistical inference in compound functional models},
    journal={Probability Theory and Related Fields},
    year={2014},
    volume={158},
    number={3-4},
    pages={513-532},
    doi={10.1007/s00440-013-0487-y},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897671636&doi=10.1007%2fs00440-013-0487-y&partnerID=40&md5=5fb8613c1c4e0a1501d0e72297fb4324},
    document_type={Article},
    source={Scopus},
    }
  • Efficient eigen-updating for spectral graph clustering

    Neurocomputing, vol. 131, pp. 440-452, 2014.

    By C. Dhanjal, R. Gaudel, and S. Clemençon

    [DOI] [Bibtex]

    @ARTICLE{Dhanjal2014440,
    author={Dhanjal, C. and Gaudel, R. and Clemençon, S.},
    title={Efficient eigen-updating for spectral graph clustering},
    journal={Neurocomputing},
    year={2014},
    volume={131},
    pages={440-452},
    doi={10.1016/j.neucom.2013.11.015},
    note={cited By 30},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894059163&doi=10.1016%2fj.neucom.2013.11.015&partnerID=40&md5=8770de069fc2e3f364112af9fe1cd224},
    document_type={Article},
    source={Scopus},
    }
  • Regularizing priors for linear inverse problems

    Econometric theory, vol. 32, iss. 1, pp. 71-121, 2014.

    By J. -P. Florens and A. Simoni

    [DOI] [Bibtex]

    @ARTICLE{Florens201471,
    author={Florens, J.-P. and Simoni, A.},
    title={REGULARIZING PRIORS for LINEAR INVERSE PROBLEMS},
    journal={Econometric Theory},
    year={2014},
    volume={32},
    number={1},
    pages={71-121},
    doi={10.1017/S0266466614000796},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954310933&doi=10.1017%2fS0266466614000796&partnerID=40&md5=bad33d57b1030befce62a15cf245a446},
    document_type={Article},
    source={Scopus},
    }
  • Estimation of the conditional tail index using a smoothed local hill estimator

    Extremes, vol. 17, iss. 1, pp. 45-75, 2014.

    By L. Gardes and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Gardes201445,
    author={Gardes, L. and Stupfler, G.},
    title={Estimation of the conditional tail index using a smoothed local Hill estimator},
    journal={Extremes},
    year={2014},
    volume={17},
    number={1},
    pages={45-75},
    doi={10.1007/s10687-013-0174-5},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896547855&doi=10.1007%2fs10687-013-0174-5&partnerID=40&md5=9d80703f252d8d08a34342b4b47afc99},
    document_type={Article},
    source={Scopus},
    }
  • Uniform strong consistency of a frontier estimator using kernel regression on high order moments

    Esaim – probability and statistics, vol. 18, pp. 642-666, 2014.

    By S. Girard, A. Guillou, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Girard2014642,
    author={Girard, S. and Guillou, A. and Stupfler, G.},
    title={Uniform strong consistency of a frontier estimator using kernel regression on high order moments},
    journal={ESAIM - Probability and Statistics},
    year={2014},
    volume={18},
    pages={642-666},
    doi={10.1051/ps/2013050},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006284944&doi=10.1051%2fps%2f2013050&partnerID=40&md5=34f0105c4593870e8617b25d408bbf3e},
    document_type={Article},
    source={Scopus},
    }
  • Optimal exponential bounds on the accuracy of classification

    Constructive approximation, vol. 39, iss. 3, pp. 421-444, 2014.

    By G. Kerkyacharian, A. B. Tsybakov, V. Temlyakov, D. Picard, and V. Koltchinskii

    [DOI] [Bibtex]

    @ARTICLE{Kerkyacharian2014421,
    author={Kerkyacharian, G. and Tsybakov, A.B. and Temlyakov, V. and Picard, D. and Koltchinskii, V.},
    title={Optimal Exponential Bounds on the Accuracy of Classification},
    journal={Constructive Approximation},
    year={2014},
    volume={39},
    number={3},
    pages={421-444},
    doi={10.1007/s00365-014-9229-3},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901038612&doi=10.1007%2fs00365-014-9229-3&partnerID=40&md5=3c0c5d6a91f6da623bd42fa7410c114a},
    document_type={Article},
    source={Scopus},
    }
  • Optimal learning with q-aggregation

    Annals of statistics, vol. 42, iss. 1, pp. 211-224, 2014.

    By G. Lecue and P. Rigollet

    [DOI] [Bibtex]

    @ARTICLE{Lecue2014211,
    author={Lecue, G. and Rigollet, P.},
    title={Optimal learning with Q-aggregation},
    journal={Annals of Statistics},
    year={2014},
    volume={42},
    number={1},
    pages={211-224},
    doi={10.1214/13-AOS1190},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987956474&doi=10.1214%2f13-AOS1190&partnerID=40&md5=f7bcc624140b4de2879d65ea28bbb34c},
    document_type={Article},
    source={Scopus},
    }
  • Set-valued approachability and online learning with partial monitoring

    Journal of machine learning research, vol. 15, iss. None, pp. 3247-3295, 2014.

    By S. Mannor, V. Perchet, and G. Stoltz

    [Bibtex]

    @ARTICLE{Mannor2014Set-ValuedMonitoring,
    author = {Shie Mannor and Vianney Perchet and Gilles Stoltz},
    title = {{Set-valued approachability and online learning with partial monitoring}},
    journal = {Journal of Machine Learning Research},
    year = {2014},
    volume = {15},
    number = {None},
    pages = {3247-3295}}
  • Approachability in unknown games: Online learning meets multi-objective optimization

    Journal of machine learning research, vol. 35, iss. None, pp. 339-355, 2014.

    By S. Mannor, V. Perchet, and G. Stoltz

    [Bibtex]

    @ARTICLE{Mannor2014ApproachabilityOptimization,
    author = {Shie Mannor and Vianney Perchet and Gilles Stoltz},
    title = {{Approachability in unknown games: Online learning meets multi-objective optimization}},
    journal = {Journal of Machine Learning Research},
    year = {2014},
    volume = {35},
    number = {None},
    pages = {339-355}}
  • Set-valued approachability and online learning with partial monitoring

    Journal of machine learning research, vol. 15, pp. 3247-3295, 2014.

    By S. Mannor, V. Perchet, and G. Stoltz

    [Bibtex]

    @ARTICLE{Mannor20143247,
    author={Mannor, S. and Perchet, V. and Stoltz, G.},
    title={Set-valued approachability and online learning with partial monitoring},
    journal={Journal of Machine Learning Research},
    year={2014},
    volume={15},
    pages={3247-3295},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919775343&partnerID=40&md5=34a595d65f9a6d3b79cd5f208761638b},
    document_type={Article},
    source={Scopus},
    }
  • A primal condition for approachability with partial monitoring

    Journal of dynamics and games, vol. 1, iss. 3, pp. 447-469, 2014.

    By S. Mannor, V. Perchet, and G. Stoltz

    [DOI] [Bibtex]

    @ARTICLE{Mannor2014447,
    author={Mannor, S. and Perchet, V. and Stoltz, G.},
    title={A primal condition for approachability with partial monitoring},
    journal={Journal of Dynamics and Games},
    year={2014},
    volume={1},
    number={3},
    pages={447-469},
    doi={10.3934/jdg.2014.1.447},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044284955&doi=10.3934%2fjdg.2014.1.447&partnerID=40&md5=fb7672b4187504c07dfa6051cb7e1011},
    document_type={Article},
    source={Scopus},
    }
  • Approachability in unknown games: online learning meets multi-objective optimization

    Journal of machine learning research, vol. 35, pp. 339-355, 2014.

    By S. Mannor, V. Perchet, and G. Stoltz

    [Bibtex]

    @ARTICLE{Mannor2014339,
    author={Mannor, S. and Perchet, V. and Stoltz, G.},
    title={Approachability in unknown games: Online learning meets multi-objective optimization},
    journal={Journal of Machine Learning Research},
    year={2014},
    volume={35},
    pages={339-355},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939605165&partnerID=40&md5=697c0eaf837d1ca10bd71247730d3ac7},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Testing second-order dynamics for autoregressive processes in presence of time-varying variance

    Journal of the american statistical association, vol. 109, iss. 507, pp. 1099-1111, 2014.

    By V. Patilea and H. Raissi

    [DOI] [Bibtex]

    @ARTICLE{Patilea20141099,
    author={Patilea, V. and Raissi, H.},
    title={Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance},
    journal={Journal of the American Statistical Association},
    year={2014},
    volume={109},
    number={507},
    pages={1099-1111},
    doi={10.1080/01621459.2014.884504},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907507029&doi=10.1080%2f01621459.2014.884504&partnerID=40&md5=94bb76c1e21c6017bc2aa0b86c00045c},
    document_type={Article},
    source={Scopus},
    }
  • A note on robust nash equilibria with uncertainties

    Rairo – operations research, vol. 48, iss. 3, pp. 365-371, 2014.

    By V. Perchet

    [DOI] [Bibtex]

    @ARTICLE{Perchet2014365,
    author={Perchet, V.},
    title={A note on Robust Nash equilibria with uncertainties},
    journal={RAIRO - Operations Research},
    year={2014},
    volume={48},
    number={3},
    pages={365-371},
    doi={10.1051/ro/2014001},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006307359&doi=10.1051%2fro%2f2014001&partnerID=40&md5=7177894d5ccf355fb03d4752636360c4},
    document_type={Article},
    source={Scopus},
    }
  • Approachability, regret and calibration: implications and equivalences

    Journal of dynamics and games, vol. 1, iss. 2, pp. 181-254, 2014.

    By V. Perchet

    [DOI] [Bibtex]

    @ARTICLE{Perchet2014181,
    author={Perchet, V.},
    title={Approachability, regret and calibration: Implications and equivalences},
    journal={Journal of Dynamics and Games},
    year={2014},
    volume={1},
    number={2},
    pages={181-254},
    doi={10.3934/jdg.2014.1.181},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938315455&doi=10.3934%2fjdg.2014.1.181&partnerID=40&md5=db1007a72b019e42f1be5544d9df7b3c},
    document_type={Article},
    source={Scopus},
    }
  • Log-concavity and strong log-concavity:a review

    Statistics surveys, vol. 8, pp. 45-114, 2014.

    By A. Saumard and J. A. Wellner

    [DOI] [Bibtex]

    @ARTICLE{Saumard201445,
    author={Saumard, A. and Wellner, J.A.},
    title={Log-concavity and strong log-concavity:A review},
    journal={Statistics Surveys},
    year={2014},
    volume={8},
    pages={45-114},
    doi={10.1214/14-SS107},
    note={cited By 49},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922227034&doi=10.1214%2f14-SS107&partnerID=40&md5=4dccf66ae83a36b4d9c61acf0e134952},
    document_type={Article},
    source={Scopus},
    }
  • On the weak convergence of kernel density estimators in lp spaces

    Journal of nonparametric statistics, vol. 26, iss. 4, pp. 721-735, 2014.

    By G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Stupfler2014721,
    author={Stupfler, G.},
    title={On the weak convergence of kernel density estimators in Lp spaces},
    journal={Journal of Nonparametric Statistics},
    year={2014},
    volume={26},
    number={4},
    pages={721-735},
    doi={10.1080/10485252.2014.949707},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027936306&doi=10.1080%2f10485252.2014.949707&partnerID=40&md5=d18b5a276ff9a7927734adee4b855f32},
    document_type={Article},
    source={Scopus},
    }
  • On a family of contrasts for parametric inference in degenerate arch models

    Econometric theory, vol. 30, iss. 6, pp. 1165-1206, 2014.

    By L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Truquet20141165,
    author={Truquet, L.},
    title={On a family of contrasts for parametric inference in degenerate ARCH models},
    journal={Econometric Theory},
    year={2014},
    volume={30},
    number={6},
    pages={1165-1206},
    doi={10.1017/S0266466614000139},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911412602&doi=10.1017%2fS0266466614000139&partnerID=40&md5=761b125e18d9217c83b6e6eb9eca6ef0},
    document_type={Review},
    source={Scopus},
    }

2013

  • The logarithmic sobolev constant of the lamplighter

    Journal of mathematical analysis and applications, vol. 399, iss. 2, pp. 576-585, 2013.

    By E. Abakumov, A. Beaulieu, F. Blanchard, M. Fradelizi, N. Gozlan, B. Host, T. Jeantheau, M. Kobylanski, G. Lecue, M. Martinez, M. Meyer, M. -H. Mourgues, F. Portal, F. Ribaud, C. Roberto, P. Romon, J. Roth, P. -M. Samson, P. Vandekerkhove, and A. Youssfi

    [DOI] [Bibtex]

    @ARTICLE{Abakumov2013576,
    author={Abakumov, E. and Beaulieu, A. and Blanchard, F. and Fradelizi, M. and Gozlan, N. and Host, B. and Jeantheau, T. and Kobylanski, M. and Lecue, G. and Martinez, M. and Meyer, M. and Mourgues, M.-H. and Portal, F. and Ribaud, F. and Roberto, C. and Romon, P. and Roth, J. and Samson, P.-M. and Vandekerkhove, P. and Youssfi, A.},
    title={The logarithmic Sobolev constant of the lamplighter},
    journal={Journal of Mathematical Analysis and Applications},
    year={2013},
    volume={399},
    number={2},
    pages={576-585},
    doi={10.1016/j.jmaa.2012.10.002},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870056650&doi=10.1016%2fj.jmaa.2012.10.002&partnerID=40&md5=5bb9c860879179624dfd12de64cd7ad8},
    document_type={Article},
    source={Scopus},
    }
  • Rank-penalized estimation of a quantum system

    Physical review a – atomic, molecular, and optical physics, vol. 88, iss. 3, 2013.

    By P. Alquier, C. Butucea, M. Hebiri, K. Meziani, and T. Morimae

    [DOI] [Bibtex]

    @ARTICLE{Alquier2013,
    author={Alquier, P. and Butucea, C. and Hebiri, M. and Meziani, K. and Morimae, T.},
    title={Rank-penalized estimation of a quantum system},
    journal={Physical Review A - Atomic, Molecular, and Optical Physics},
    year={2013},
    volume={88},
    number={3},
    doi={10.1103/PhysRevA.88.032113},
    art_number={032113},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884881858&doi=10.1103%2fPhysRevA.88.032113&partnerID=40&md5=844f0740e4481e6d162096bcd06c1e54},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive estimation of convex polytopes and convex sets from noisy data

    Electronic journal of statistics, vol. 7, iss. 1, pp. 1301-1327, 2013.

    By V. -E. Brunel

    [DOI] [Bibtex]

    @ARTICLE{Brunel20131301,
    author={Brunel, V.-E.},
    title={Adaptive estimation of convex polytopes and convex sets from noisy data},
    journal={Electronic Journal of Statistics},
    year={2013},
    volume={7},
    number={1},
    pages={1301-1327},
    doi={10.1214/13-EJS804},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884971672&doi=10.1214%2f13-EJS804&partnerID=40&md5=5c419c3f0ad28cffa2bc5c30444779df},
    document_type={Article},
    source={Scopus},
    }
  • Bounded regret in stochastic multi-armed bandits

    Journal of machine learning research, vol. 30, iss. None, pp. 122-134, 2013.

    By S. Bubeck, V. Perchet, and P. Rigollet

    [Bibtex]

    @ARTICLE{Bubeck2013BoundedBandits,
    author = {Sebastien Bubeck and Vianney Perchet and Philippe Rigollet},
    title = {{Bounded regret in stochastic multi-armed bandits}},
    journal = {Journal of Machine Learning Research},
    year = {2013},
    volume = {30},
    number = {None},
    pages = {122-134}}
  • Bounded regret in stochastic multi-armed bandits

    Journal of machine learning research, vol. 30, pp. 122-134, 2013.

    By S. Bubeck, V. Perchet, and P. Rigollet

    [Bibtex]

    @ARTICLE{Bubeck2013122,
    author={Bubeck, S. and Perchet, V. and Rigollet, P.},
    title={Bounded regret in stochastic multi-armed bandits},
    journal={Journal of Machine Learning Research},
    year={2013},
    volume={30},
    pages={122-134},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898021400&partnerID=40&md5=01a0da98a53749afc5d21ae5bce8269c},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Detection of a sparse submatrix of a high-dimensional noisy matrix

    Bernoulli, vol. 19, iss. 5 B, pp. 2652-2688, 2013.

    By C. Butucea and Y. I. Ingster

    [DOI] [Bibtex]

    @ARTICLE{Butucea20132652,
    author={Butucea, C. and Ingster, Y.I.},
    title={Detection of a sparse submatrix of a high-dimensional noisy matrix},
    journal={Bernoulli},
    year={2013},
    volume={19},
    number={5 B},
    pages={2652-2688},
    doi={10.3150/12-BEJ470},
    note={cited By 39},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891934985&doi=10.3150%2f12-BEJ470&partnerID=40&md5=146bff4f1293f849fb0afc64c5d2a363},
    document_type={Article},
    source={Scopus},
    }
  • Fast nonparametric estimation for convolutions of densities

    Canadian journal of statistics, vol. 41, iss. 4, pp. 617-636, 2013.

    By C. Chesneau, F. Comte, and F. Navarro

    [DOI] [Bibtex]

    @ARTICLE{Chesneau2013617,
    author={Chesneau, C. and Comte, F. and Navarro, F.},
    title={Fast nonparametric estimation for convolutions of densities},
    journal={Canadian Journal of Statistics},
    year={2013},
    volume={41},
    number={4},
    pages={617-636},
    doi={10.1002/cjs.11191},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887617135&doi=10.1002%2fcjs.11191&partnerID=40&md5=6beef601dda90e8384443917c9aacf35},
    document_type={Article},
    source={Scopus},
    }
  • Computational aspects of bayesian spectral density estimation

    Journal of computational and graphical statistics, vol. 22, iss. 3, pp. 533-557, 2013.

    By N. Chopin, J. Rousseau, and B. Liseo

    [DOI] [Bibtex]

    @ARTICLE{Chopin2013533,
    author={Chopin, N. and Rousseau, J. and Liseo, B.},
    title={Computational aspects of Bayesian spectral density estimation},
    journal={Journal of Computational and Graphical Statistics},
    year={2013},
    volume={22},
    number={3},
    pages={533-557},
    doi={10.1080/10618600.2013.785293},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890242663&doi=10.1080%2f10618600.2013.785293&partnerID=40&md5=4860201eb7e44b2562c0354e4386cc19},
    document_type={Article},
    source={Scopus},
    }
  • Smc2: an efficient algorithm for sequential analysis of state space models

    Journal of the royal statistical society. series b: statistical methodology, vol. 75, iss. 3, pp. 397-426, 2013.

    By N. Chopin, P. E. Jacob, and O. Papaspiliopoulos

    [DOI] [Bibtex]

    @ARTICLE{Chopin2013397,
    author={Chopin, N. and Jacob, P.E. and Papaspiliopoulos, O.},
    title={SMC2: An efficient algorithm for sequential analysis of state space models},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2013},
    volume={75},
    number={3},
    pages={397-426},
    doi={10.1111/j.1467-9868.2012.01046.x},
    note={cited By 147},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878260706&doi=10.1111%2fj.1467-9868.2012.01046.x&partnerID=40&md5=90a96648a2eb9b67c3392f7984c22b23},
    document_type={Article},
    source={Scopus},
    }
  • Permutation estimation and minimax matching thresholds

    Journal of machine learning research, vol. 31, iss. None, pp. 10-19, 2013.

    By O. Collier and A. Dalalyan

    [Bibtex]

    @ARTICLE{Collier2013PermutationThresholds,
    author = {Olivier Collier and Arnak Dalalyan},
    title = {{Permutation estimation and minimax matching thresholds}},
    journal = {Journal of Machine Learning Research},
    year = {2013},
    volume = {31},
    number = {None},
    pages = {10-19}}
  • Permutation estimation and minimax matching thresholds

    Journal of machine learning research, vol. 31, pp. 10-19, 2013.

    By O. Collier and A. Dalalyan

    [Bibtex]

    @ARTICLE{Collier201310,
    author={Collier, O. and Dalalyan, A.},
    title={Permutation estimation and minimax matching thresholds},
    journal={Journal of Machine Learning Research},
    year={2013},
    volume={31},
    pages={10-19},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954235621&partnerID=40&md5=54d4279fe09db8ac95e2a6ea879eb925},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression

    Electronic journal of statistics, vol. 7, iss. 1, pp. 146-190, 2013.

    By L. Comminges and A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Comminges2013146,
    author={Comminges, L. and Dalalyan, A.S.},
    title={Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression},
    journal={Electronic Journal of Statistics},
    year={2013},
    volume={7},
    number={1},
    pages={146-190},
    doi={10.1214/13-EJS766},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873878429&doi=10.1214%2f13-EJS766&partnerID=40&md5=0e258063ccfa4d6f719dd9b0fe190e6d},
    document_type={Article},
    source={Scopus},
    }
  • Markov approximation of chains of infinite order in the d̄-metric

    Markov processes and related fields, vol. 19, iss. 1, pp. 51-82, 2013.

    By S. Gallo, M. Lerasle, and D. Y. Takahashi

    [Bibtex]

    @ARTICLE{Gallo2013MarkovD̄-Metric,
    author = {S. Gallo and M. Lerasle and D. Y. Takahashi},
    title = {{Markov approximation of chains of infinite order in the d̄-metric}},
    journal = {Markov Processes and Related Fields},
    year = {2013},
    volume = {19},
    number = {1},
    pages = {51-82}}
  • Markov approximation of chains of infinite order in the d̄-metric

    Markov processes and related fields, vol. 19, iss. 1, pp. 51-82, 2013.

    By S. Gallo, M. Lerasle, and D. Y. Takahashi

    [Bibtex]

    @ARTICLE{Gallo201351,
    author={Gallo, S. and Lerasle, M. and Takahashi, D.Y.},
    title={Markov approximation of chains of infinite order in the d̄-metric},
    journal={Markov Processes and Related Fields},
    year={2013},
    volume={19},
    number={1},
    pages={51-82},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878290693&partnerID=40&md5=84b6d9ac38c1ae319ddc6074b0d0abd6},
    document_type={Article},
    source={Scopus},
    }
  • Frontier estimation with kernel regression on high order moments

    Journal of multivariate analysis, vol. 116, pp. 172-189, 2013.

    By S. Girard, A. Guillou, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Girard2013172,
    author={Girard, S. and Guillou, A. and Stupfler, G.},
    title={Frontier estimation with kernel regression on high order moments},
    journal={Journal of Multivariate Analysis},
    year={2013},
    volume={116},
    pages={172-189},
    doi={10.1016/j.jmva.2012.12.001},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872382104&doi=10.1016%2fj.jmva.2012.12.001&partnerID=40&md5=be34065f8681f93c53c6328cf9c0172a},
    document_type={Article},
    source={Scopus},
    }
  • How correlations influence lasso prediction

    Ieee transactions on information theory, vol. 59, iss. 3, pp. 1846-1854, 2013.

    By M. Hebiri and J. Lederer

    [DOI] [Bibtex]

    @ARTICLE{Hebiri20131846,
    author={Hebiri, M. and Lederer, J.},
    title={How correlations influence lasso prediction},
    journal={IEEE Transactions on Information Theory},
    year={2013},
    volume={59},
    number={3},
    pages={1846-1854},
    doi={10.1109/TIT.2012.2227680},
    art_number={6355687},
    note={cited By 38},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873930459&doi=10.1109%2fTIT.2012.2227680&partnerID=40&md5=684852f016ec1f92e3ca1bb1a1035d54},
    document_type={Article},
    source={Scopus},
    }
  • Smooth minimum distance estimation and testing with conditional estimating equations: uniform in bandwidth theory

    Journal of econometrics, vol. 177, iss. 1, pp. 47-59, 2013.

    By P. Lavergne and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Lavergne201347,
    author={Lavergne, P. and Patilea, V.},
    title={Smooth minimum distance estimation and testing with conditional estimating equations: Uniform in bandwidth theory},
    journal={Journal of Econometrics},
    year={2013},
    volume={177},
    number={1},
    pages={47-59},
    doi={10.1016/j.jeconom.2013.05.006},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883457873&doi=10.1016%2fj.jeconom.2013.05.006&partnerID=40&md5=3c960af4a2a8ce7b9e38bd045a0221e5},
    document_type={Article},
    source={Scopus},
    }
  • Generalized aitchison embeddings for histograms

    Journal of machine learning research, vol. 29, iss. None, pp. 293-308, 2013.

    By T. Le and M. Cuturi

    [Bibtex]

    @ARTICLE{Le2013GeneralizedHistograms,
    author = {Tam Le and Marco Cuturi},
    title = {{Generalized aitchison embeddings for histograms}},
    journal = {Journal of Machine Learning Research},
    year = {2013},
    volume = {29},
    number = {None},
    pages = {293-308}}
  • Generalized aitchison embeddings for histograms

    Journal of machine learning research, vol. 29, pp. 293-308, 2013.

    By T. Le and M. Cuturi

    [Bibtex]

    @ARTICLE{Le2013293,
    author={Le, T. and Cuturi, M.},
    title={Generalized aitchison embeddings for histograms},
    journal={Journal of Machine Learning Research},
    year={2013},
    volume={29},
    pages={293-308},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908488402&partnerID=40&md5=2be91ffbe23fff7c709f70529910b978},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Empirical risk minimization is optimal for the convex aggregation problem

    Bernoulli, vol. 19, iss. 5 B, pp. 2153-2166, 2013.

    By G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Lecue20132153,
    author={Lecue, G.},
    title={Empirical risk minimization is optimal for the convex aggregation problem},
    journal={Bernoulli},
    year={2013},
    volume={19},
    number={5 B},
    pages={2153-2166},
    doi={10.3150/12-BEJ447},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891915890&doi=10.3150%2f12-BEJ447&partnerID=40&md5=0df2e4ae854dd3d80daf4f3f8a3be9a2},
    document_type={Article},
    source={Scopus},
    }
  • Comment to “generic chaining and the ℓ1-penalty” by sara van de geer

    Journal of statistical planning and inference, vol. 143, iss. 6, pp. 1022-1025, 2013.

    By G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Lecue20131022,
    author={Lecue, G.},
    title={Comment to "Generic chaining and the ℓ1-penalty" by Sara van de Geer},
    journal={Journal of Statistical Planning and Inference},
    year={2013},
    volume={143},
    number={6},
    pages={1022-1025},
    doi={10.1016/j.jspi.2012.12.006},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875375342&doi=10.1016%2fj.jspi.2012.12.006&partnerID=40&md5=cdf7cf83cfa22634351a842ed7f5bd60},
    document_type={Note},
    source={Scopus},
    }
  • On the optimality of the aggregate with exponential weights for low temperatures

    Bernoulli, vol. 19, iss. 2, pp. 646-675, 2013.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue2013646,
    author={Lecue, G. and Mendelson, S.},
    title={On the optimality of the aggregate with exponential weights for low temperatures},
    journal={Bernoulli},
    year={2013},
    volume={19},
    number={2},
    pages={646-675},
    doi={10.3150/11-BEJ408},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884125671&doi=10.3150%2f11-BEJ408&partnerID=40&md5=cba62f142e66cd724828bfa4f19dc8f2},
    document_type={Article},
    source={Scopus},
    }
  • On the optimality of the empirical risk minimization procedure for the convex aggregation problem

    Annales de l’institut henri poincare (b) probability and statistics, vol. 49, iss. 1, pp. 288-306, 2013.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue2013288,
    author={Lecue, G. and Mendelson, S.},
    title={On the optimality of the empirical risk minimization procedure for the convex aggregation problem},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2013},
    volume={49},
    number={1},
    pages={288-306},
    doi={10.1214/11-AIHP458},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879247711&doi=10.1214%2f11-AIHP458&partnerID=40&md5=0f7a6c37f525131578d647456c463093},
    document_type={Article},
    source={Scopus},
    }
  • Single index regression models in the presence of censoring depending on the covariates

    Bernoulli, vol. 19, iss. 3, pp. 721-747, 2013.

    By O. Lopez, V. Patilea, and I. Van Keilegom

    [DOI] [Bibtex]

    @ARTICLE{Lopez2013721,
    author={Lopez, O. and Patilea, V. and Van Keilegom, I.},
    title={Single index regression models in the presence of censoring depending on the covariates},
    journal={Bernoulli},
    year={2013},
    volume={19},
    number={3},
    pages={721-747},
    doi={10.3150/12-BEJ464},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883881843&doi=10.3150%2f12-BEJ464&partnerID=40&md5=715a33851bab670c459525d90ba16b68},
    document_type={Article},
    source={Scopus},
    }
  • Approachability, fast and slow

    Journal of machine learning research, vol. 30, pp. 474-477, 2013.

    By S. Mannor and V. Perchet

    [Bibtex]

    @ARTICLE{Mannor2013474,
    author={Mannor, S. and Perchet, V.},
    title={Approachability, fast and slow},
    journal={Journal of Machine Learning Research},
    year={2013},
    volume={30},
    pages={474-477},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898038007&partnerID=40&md5=de0056487be30d7beca6f41468c08954},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model

    Electronic journal of statistics, vol. 7, iss. 1, pp. 428-453, 2013.

    By F. Navarro, C. Chesneau, J. Fadili, and T. Sassi

    [DOI] [Bibtex]

    @ARTICLE{Navarro2013428,
    author={Navarro, F. and Chesneau, C. and Fadili, J. and Sassi, T.},
    title={Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model},
    journal={Electronic Journal of Statistics},
    year={2013},
    volume={7},
    number={1},
    pages={428-453},
    doi={10.1214/13-EJS776},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875387696&doi=10.1214%2f13-EJS776&partnerID=40&md5=3529513890bc981c7b6fb85a80d081a7},
    document_type={Article},
    source={Scopus},
    }
  • Corrected portmanteau tests for var models with time-varying variance

    Journal of multivariate analysis, vol. 116, pp. 190-207, 2013.

    By V. Patilea and H. Raissi

    [DOI] [Bibtex]

    @ARTICLE{Patilea2013190,
    author={Patilea, V. and Raissi, H.},
    title={Corrected portmanteau tests for VAR models with time-varying variance},
    journal={Journal of Multivariate Analysis},
    year={2013},
    volume={116},
    pages={190-207},
    doi={10.1016/j.jmva.2012.12.004},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872417584&doi=10.1016%2fj.jmva.2012.12.004&partnerID=40&md5=bd38e1a9538a5dbe28cc926bbb91b454},
    document_type={Article},
    source={Scopus},
    }
  • The multi-armed bandit problem with covariates

    Annals of statistics, vol. 41, iss. 2, pp. 693-721, 2013.

    By V. Perchet and P. Rigollet

    [DOI] [Bibtex]

    @ARTICLE{Perchet2013693,
    author={Perchet, V. and Rigollet, P.},
    title={The multi-armed bandit problem with covariates},
    journal={Annals of Statistics},
    year={2013},
    volume={41},
    number={2},
    pages={693-721},
    doi={10.1214/13-AOS1101},
    note={cited By 38},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879129093&doi=10.1214%2f13-AOS1101&partnerID=40&md5=becf8fb07242e75e684afde8e2b1302a},
    document_type={Article},
    source={Scopus},
    }
  • Optimal model selection in heteroscedastic regression using piecewise polynomial functions

    Electronic journal of statistics, vol. 7, iss. 1, pp. 1184-1223, 2013.

    By A. Saumard

    [DOI] [Bibtex]

    @ARTICLE{Saumard20131184,
    author={Saumard, A.},
    title={Optimal model selection in heteroscedastic regression using piecewise polynomial functions},
    journal={Electronic Journal of Statistics},
    year={2013},
    volume={7},
    number={1},
    pages={1184-1223},
    doi={10.1214/13-EJS803},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884956956&doi=10.1214%2f13-EJS803&partnerID=40&md5=ec4decce22aa09b26d6b45134b859d32},
    document_type={Article},
    source={Scopus},
    }
  • Sequential monte carlo on large binary sampling spaces

    Statistics and computing, vol. 23, iss. 2, pp. 163-184, 2013.

    By C. Schafer and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Schafer2013163,
    author={Schafer, C. and Chopin, N.},
    title={Sequential Monte Carlo on large binary sampling spaces},
    journal={Statistics and Computing},
    year={2013},
    volume={23},
    number={2},
    pages={163-184},
    doi={10.1007/s11222-011-9299-z},
    note={cited By 46},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872617354&doi=10.1007%2fs11222-011-9299-z&partnerID=40&md5=14d59feba0b7e1061992397a412bb6c7},
    document_type={Review},
    source={Scopus},
    }
  • Bayesian learning of noisy markov decision processes

    Acm transactions on modeling and computer simulation, vol. 23, iss. 1, 2013.

    By S. S. Singh, N. Chopin, and N. Whiteley

    [DOI] [Bibtex]

    @ARTICLE{Singh2013,
    author={Singh, S.S. and Chopin, N. and Whiteley, N.},
    title={Bayesian learning of noisy markov decision processes},
    journal={ACM Transactions on Modeling and Computer Simulation},
    year={2013},
    volume={23},
    number={1},
    doi={10.1145/2414416.2414420},
    art_number={4},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873697423&doi=10.1145%2f2414416.2414420&partnerID=40&md5=963d9ac0971a83a74919a0df94ea096b},
    document_type={Article},
    source={Scopus},
    }
  • A moment estimator for the conditional extreme-value index

    Electronic journal of statistics, vol. 7, iss. 1, pp. 2298-2343, 2013.

    By G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Stupfler20132298,
    author={Stupfler, G.},
    title={A moment estimator for the conditional extreme-value index},
    journal={Electronic Journal of Statistics},
    year={2013},
    volume={7},
    number={1},
    pages={2298-2343},
    doi={10.1214/13-EJS846},
    note={cited By 24},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884956587&doi=10.1214%2f13-EJS846&partnerID=40&md5=83d75e6bb8bcca1b1df6fc4c746fb6bf},
    document_type={Article},
    source={Scopus},
    }
  • New estimating equation approaches with application in lifetime data analysis

    Annals of the institute of statistical mathematics, vol. 65, iss. 3, pp. 589-615, 2013.

    By K. Yu, B. X. Wang, and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Yu2013589,
    author={Yu, K. and Wang, B.X. and Patilea, V.},
    title={New estimating equation approaches with application in lifetime data analysis},
    journal={Annals of the Institute of Statistical Mathematics},
    year={2013},
    volume={65},
    number={3},
    pages={589-615},
    doi={10.1007/s10463-012-0385-6},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878535734&doi=10.1007%2fs10463-012-0385-6&partnerID=40&md5=72cb138b8d94a7f2dac177430af0648f},
    document_type={Article},
    source={Scopus},
    }

2012

  • Transductive versions of the lasso and the dantzig selector

    Journal of statistical planning and inference, vol. 142, iss. 9, pp. 2485-2500, 2012.

    By P. Alquier and M. Hebiri

    [DOI] [Bibtex]

    @ARTICLE{Alquier20122485,
    author={Alquier, P. and Hebiri, M.},
    title={Transductive versions of the LASSO and the Dantzig Selector},
    journal={Journal of Statistical Planning and Inference},
    year={2012},
    volume={142},
    number={9},
    pages={2485-2500},
    doi={10.1016/j.jspi.2012.03.020},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860883493&doi=10.1016%2fj.jspi.2012.03.020&partnerID=40&md5=9d12bbbfb09a8623ac121e261fa73c95},
    document_type={Article},
    source={Scopus},
    }
  • Semiparametric estimation of shifts on compact lie groups for image registration

    Probability theory and related fields, vol. 152, iss. 3-4, pp. 425-473, 2012.

    By J. Bigot, J. -M. Loubes, and M. Vimond

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    @ARTICLE{Bigot2012425,
    author={Bigot, J. and Loubes, J.-M. and Vimond, M.},
    title={Semiparametric estimation of shifts on compact Lie groups for image registration},
    journal={Probability Theory and Related Fields},
    year={2012},
    volume={152},
    number={3-4},
    pages={425-473},
    doi={10.1007/s00440-010-0327-2},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858160199&doi=10.1007%2fs00440-010-0327-2&partnerID=40&md5=e37d8c88ac98fdca104c952959758832},
    document_type={Article},
    source={Scopus},
    }
  • Challenging the empirical mean and empirical variance: a deviation study

    Annales de l’institut henri poincare (b) probability and statistics, vol. 48, iss. 4, pp. 1148-1185, 2012.

    By O. Catoni

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    @ARTICLE{Catoni20121148,
    author={Catoni, O.},
    title={Challenging the empirical mean and empirical variance: A deviation study},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2012},
    volume={48},
    number={4},
    pages={1148-1185},
    doi={10.1214/11-AIHP454},
    note={cited By 87},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879223772&doi=10.1214%2f11-AIHP454&partnerID=40&md5=54fe8665e9ab252a98a7c3ef2384eecd},
    document_type={Article},
    source={Scopus},
    }
  • Free energy methods for bayesian inference: efficient exploration of univariate gaussian mixture posteriors

    Statistics and computing, vol. 22, iss. 4, pp. 897-916, 2012.

    By N. Chopin, T. Lelievre, and G. Stoltz

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    @ARTICLE{Chopin2012897,
    author={Chopin, N. and Lelievre, T. and Stoltz, G.},
    title={Free energy methods for Bayesian inference: Efficient exploration of univariate Gaussian mixture posteriors},
    journal={Statistics and Computing},
    year={2012},
    volume={22},
    number={4},
    pages={897-916},
    doi={10.1007/s11222-011-9257-9},
    note={cited By 24},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859780059&doi=10.1007%2fs11222-011-9257-9&partnerID=40&md5=23296dc5fb10324acaa79c4f920297d8},
    document_type={Article},
    source={Scopus},
    }
  • Tight conditions for consistency of variable selection in the context of high dimensionality

    Annals of statistics, vol. 40, iss. 5, pp. 2667-2696, 2012.

    By L. Comminges and A. S. Dalalyan

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    @ARTICLE{Comminges20122667,
    author={Comminges, L. and Dalalyan, A.S.},
    title={Tight conditions for consistency of variable selection in the context of high dimensionality},
    journal={Annals of Statistics},
    year={2012},
    volume={40},
    number={5},
    pages={2667-2696},
    doi={10.1214/12-AOS1046},
    note={cited By 27},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873372742&doi=10.1214%2f12-AOS1046&partnerID=40&md5=5f2d89d14de23a8cfbf60c9c70e0a9a6},
    document_type={Article},
    source={Scopus},
    }
  • On camera calibration with linear programming and loop constraint linearization

    International journal of computer vision, vol. 97, iss. 1, pp. 71-90, 2012.

    By J. Courchay, A. S. Dalalyan, R. Keriven, and P. Sturm

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    @ARTICLE{Courchay201271,
    author={Courchay, J. and Dalalyan, A.S. and Keriven, R. and Sturm, P.},
    title={On camera calibration with linear programming and loop constraint linearization},
    journal={International Journal of Computer Vision},
    year={2012},
    volume={97},
    number={1},
    pages={71-90},
    doi={10.1007/s11263-011-0483-6},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859264313&doi=10.1007%2fs11263-011-0483-6&partnerID=40&md5=273c2ffb021daf5d4b5c2fc9d1bde2cd},
    document_type={Article},
    source={Scopus},
    }
  • Sparse regression learning by aggregation and langevin monte-carlo

    Journal of computer and system sciences, vol. 78, iss. 5, pp. 1423-1443, 2012.

    By A. S. Dalalyan and A. B. Tsybakov

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    @ARTICLE{Dalalyan20121423,
    author={Dalalyan, A.S. and Tsybakov, A.B.},
    title={Sparse regression learning by aggregation and Langevin Monte-Carlo},
    journal={Journal of Computer and System Sciences},
    year={2012},
    volume={78},
    number={5},
    pages={1423-1443},
    doi={10.1016/j.jcss.2011.12.023},
    note={cited By 43},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861604276&doi=10.1016%2fj.jcss.2011.12.023&partnerID=40&md5=62c67cdb5af94da9d8a4add7592ea9c6},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Socp based variance free dantzig selector with application to robust estimation

    Comptes rendus mathematique, vol. 350, iss. 15-16, pp. 785-788, 2012.

    By A. S. Dalalyan

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    @ARTICLE{Dalalyan2012785,
    author={Dalalyan, A.S.},
    title={SOCP based variance free Dantzig Selector with application to robust estimation},
    journal={Comptes Rendus Mathematique},
    year={2012},
    volume={350},
    number={15-16},
    pages={785-788},
    doi={10.1016/j.crma.2012.09.016},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867329277&doi=10.1016%2fj.crma.2012.09.016&partnerID=40&md5=78ab3230a27ba094a2a44c51b6e7ee42},
    document_type={Article},
    source={Scopus},
    }
  • Mirror averaging with sparsity priors

    Bernoulli, vol. 18, iss. 3, pp. 914-944, 2012.

    By A. S. Dalalyan and A. B. Tsybakov

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    @ARTICLE{Dalalyan2012914,
    author={Dalalyan, A.S. and Tsybakov, A.B.},
    title={Mirror averaging with sparsity priors},
    journal={Bernoulli},
    year={2012},
    volume={18},
    number={3},
    pages={914-944},
    doi={10.3150/11-BEJ361},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871602377&doi=10.3150%2f11-BEJ361&partnerID=40&md5=6ce893aae1566e6d04ad0672cff36b2c},
    document_type={Article},
    source={Scopus},
    }
  • Robust estimation for an inverse problem arising in multiview geometry

    Journal of mathematical imaging and vision, vol. 43, iss. 1, pp. 10-23, 2012.

    By A. Dalalyan and R. Keriven

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan201210,
    author={Dalalyan, A. and Keriven, R.},
    title={Robust estimation for an inverse problem arising in multiview geometry},
    journal={Journal of Mathematical Imaging and Vision},
    year={2012},
    volume={43},
    number={1},
    pages={10-23},
    doi={10.1007/s10851-011-0281-3},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859420852&doi=10.1007%2fs10851-011-0281-3&partnerID=40&md5=f5b4c2a4567dc78c9a0656f1235145b7},
    document_type={Review},
    source={Scopus},
    }
  • Sharp oracle inequalities for aggregation of affine estimators

    Annals of statistics, vol. 40, iss. 4, pp. 2327-2355, 2012.

    By A. S. Dalalyan and J. Salmon

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    @ARTICLE{Dalalyan20122327,
    author={Dalalyan, A.S. and Salmon, J.},
    title={Sharp oracle inequalities for aggregation of affine estimators},
    journal={Annals of Statistics},
    year={2012},
    volume={40},
    number={4},
    pages={2327-2355},
    doi={10.1214/12-AOS1038},
    note={cited By 26},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884954887&doi=10.1214%2f12-AOS1038&partnerID=40&md5=4c1292bdc2a917a672f782ebb18cde6d},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric estimation of an instrumental regression: a quasi-bayesian approach based on regularized posterior

    Journal of econometrics, vol. 170, iss. 2, pp. 458-475, 2012.

    By J. -P. Florens and A. Simoni

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    @ARTICLE{Florens2012458,
    author={Florens, J.-P. and Simoni, A.},
    title={Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior},
    journal={Journal of Econometrics},
    year={2012},
    volume={170},
    number={2},
    pages={458-475},
    doi={10.1016/j.jeconom.2012.05.016},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865320541&doi=10.1016%2fj.jeconom.2012.05.016&partnerID=40&md5=be554d6c9bf3c414eb7c49d7605f78c9},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Regularized posteriors in linear ill-posed inverse problems

    Scandinavian journal of statistics, vol. 39, iss. 2, pp. 214-235, 2012.

    By J. -P. Florens and A. Simoni

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    @ARTICLE{Florens2012214,
    author={Florens, J.-P. and Simoni, A.},
    title={Regularized Posteriors in Linear Ill-Posed Inverse Problems},
    journal={Scandinavian Journal of Statistics},
    year={2012},
    volume={39},
    number={2},
    pages={214-235},
    doi={10.1111/j.1467-9469.2011.00784.x},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860995589&doi=10.1111%2fj.1467-9469.2011.00784.x&partnerID=40&md5=6e5bdb6e3ff5276a507cdb8ef5f35589},
    document_type={Article},
    source={Scopus},
    }
  • Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems

    Journal of machine learning research, vol. 23, iss. None, p. -, 2012.

    By M. Fromont, B. Laurent, M. Lerasle, and P. Reynaud-Bouret

    [Bibtex]

    @ARTICLE{Fromont2012KernelsProblems,
    author = {Magalie Fromont and Beatrice Laurent and Matthieu Lerasle and Patricia Reynaud-Bouret},
    title = {{Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems}},
    journal = {Journal of Machine Learning Research},
    year = {2012},
    volume = {23},
    number = {None},
    pages = {-}}
  • Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems

    Journal of machine learning research, vol. 23, p. 23.1-23.22, 2012.

    By M. Fromont, B. Laurent, M. Lerasle, and P. Reynaud-Bouret

    [Bibtex]

    @ARTICLE{Fromont201223.1,
    author={Fromont, M. and Laurent, B. and Lerasle, M. and Reynaud-Bouret, P.},
    title={Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems},
    journal={Journal of Machine Learning Research},
    year={2012},
    volume={23},
    pages={23.1-23.22},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898473605&partnerID=40&md5=7ff9ddf9ee403f11627633c85fa14862},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Estimating an endpoint with high-order moments

    Test, vol. 21, iss. 4, pp. 697-729, 2012.

    By S. Girard, A. Guillou, and G. Stupfler

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    @ARTICLE{Girard2012697,
    author={Girard, S. and Guillou, A. and Stupfler, G.},
    title={Estimating an endpoint with high-order moments},
    journal={Test},
    year={2012},
    volume={21},
    number={4},
    pages={697-729},
    doi={10.1007/s11749-011-0277-8},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867576585&doi=10.1007%2fs11749-011-0277-8&partnerID=40&md5=a5ce05bee1b9716b8449541639bc8a54},
    document_type={Article},
    source={Scopus},
    }
  • Estimating an endpoint with high order moments in the weibull domain of attraction

    Statistics and probability letters, vol. 82, iss. 12, pp. 2136-2144, 2012.

    By S. Girard, A. Guillou, and G. Stupfler

    [DOI] [Bibtex]

    @ARTICLE{Girard20122136,
    author={Girard, S. and Guillou, A. and Stupfler, G.},
    title={Estimating an endpoint with high order moments in the Weibull domain of attraction},
    journal={Statistics and Probability Letters},
    year={2012},
    volume={82},
    number={12},
    pages={2136-2144},
    doi={10.1016/j.spl.2012.07.005},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865280281&doi=10.1016%2fj.spl.2012.07.005&partnerID=40&md5=d163614535612fe6070d3a683e30d2d4},
    document_type={Article},
    source={Scopus},
    }
  • Discussion: latent variable graphical model selection via convex optimization

    Annals of statistics, vol. 40, iss. 4, pp. 1984-1988, 2012.

    By C. Giraud and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Giraud20121984,
    author={Giraud, C. and Tsybakov, A.},
    title={Discussion: Latent variable graphical model selection via convex optimization},
    journal={Annals of Statistics},
    year={2012},
    volume={40},
    number={4},
    pages={1984-1988},
    doi={10.1214/12-AOS984},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872003285&doi=10.1214%2f12-AOS984&partnerID=40&md5=aa80d12b85e40525ab7e8dc6c9c96afc},
    document_type={Note},
    source={Scopus},
    }
  • A uniform berry-esseen theorem on m-estimators for geometrically ergodic markov chains

    Bernoulli, vol. 18, iss. 2, pp. 703-734, 2012.

    By L. Herve, J. Ledoux, and V. Patilea

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    @ARTICLE{Herve2012703,
    author={Herve, L. and Ledoux, J. and Patilea, V.},
    title={A uniform Berry-Esseen theorem on M-estimators for geometrically ergodic Markov chains},
    journal={Bernoulli},
    year={2012},
    volume={18},
    number={2},
    pages={703-734},
    doi={10.3150/10-BEJ347},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873335645&doi=10.3150%2f10-BEJ347&partnerID=40&md5=f247dc8bd5d68dde5dc94bff8fe1c127},
    document_type={Article},
    source={Scopus},
    }
  • One for all and all for one: regression checks with many regressors

    Journal of business and economic statistics, vol. 30, iss. 1, pp. 41-52, 2012.

    By P. Lavergne and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Lavergne201241,
    author={Lavergne, P. and Patilea, V.},
    title={One for all and all for one: Regression checks with many regressors},
    journal={Journal of Business and Economic Statistics},
    year={2012},
    volume={30},
    number={1},
    pages={41-52},
    doi={10.1198/jbes.2011.07152},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857082489&doi=10.1198%2fjbes.2011.07152&partnerID=40&md5=ce95bea872360d8cf4a2fcfd05036885},
    document_type={Article},
    source={Scopus},
    }
  • Oracle inequalities for cross-validation type procedures

    Electronic journal of statistics, vol. 6, pp. 1803-1837, 2012.

    By G. Lecue and C. Mitchell

    [DOI] [Bibtex]

    @ARTICLE{Lecue20121803,
    author={Lecue, G. and Mitchell, C.},
    title={Oracle inequalities for cross-validation type procedures},
    journal={Electronic Journal of Statistics},
    year={2012},
    volume={6},
    pages={1803-1837},
    doi={10.1214/12-EJS730},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875375187&doi=10.1214%2f12-EJS730&partnerID=40&md5=ffbacbc4e2a0f0aadcd514c70d2b1500},
    document_type={Article},
    source={Scopus},
    }
  • General nonexact oracle inequalities for classes with a subexponential envelope

    Annals of statistics, vol. 40, iss. 2, pp. 832-860, 2012.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue2012832,
    author={Lecue, G. and Mendelson, S.},
    title={General nonexact oracle inequalities for classes with a subexponential envelope},
    journal={Annals of Statistics},
    year={2012},
    volume={40},
    number={2},
    pages={832-860},
    doi={10.1214/11-AOS965},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872017707&doi=10.1214%2f11-AOS965&partnerID=40&md5=0036045ea644bbe6d1054544fc260007},
    document_type={Article},
    source={Scopus},
    }
  • Optimal model selection in density estimation

    Annales de l’institut henri poincare (b) probability and statistics, vol. 48, iss. 3, pp. 884-908, 2012.

    By M. Lerasle

    [DOI] [Bibtex]

    @ARTICLE{Lerasle2012884,
    author={Lerasle, M.},
    title={Optimal model selection in density estimation},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2012},
    volume={48},
    number={3},
    pages={884-908},
    doi={10.1214/11-AIHP425},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873868523&doi=10.1214%2f11-AIHP425&partnerID=40&md5=f13580a54243b56e062d4a78f32cd4ed},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive non-asymptotic confidence balls in density estimation

    Esaim – probability and statistics, vol. 16, pp. 61-85, 2012.

    By M. Lerasle

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    @ARTICLE{Lerasle201261,
    author={Lerasle, M.},
    title={Adaptive non-asymptotic confidence balls in density estimation},
    journal={ESAIM - Probability and Statistics},
    year={2012},
    volume={16},
    pages={61-85},
    doi={10.1051/ps/2010012},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996132157&doi=10.1051%2fps%2f2010012&partnerID=40&md5=a0de95802270caafa7591602fceace92},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive estimation of vector autoregressive models with time-varying variance: application to testing linear causality in mean

    Journal of statistical planning and inference, vol. 142, iss. 11, pp. 2891-2912, 2012.

    By V. Patilea and H. Raissi

    [DOI] [Bibtex]

    @ARTICLE{Patilea20122891,
    author={Patilea, V. and Raissi, H.},
    title={Adaptive estimation of vector autoregressive models with time-varying variance: Application to testing linear causality in mean},
    journal={Journal of Statistical Planning and Inference},
    year={2012},
    volume={142},
    number={11},
    pages={2891-2912},
    doi={10.1016/j.jspi.2012.04.005},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862995394&doi=10.1016%2fj.jspi.2012.04.005&partnerID=40&md5=d59b6378d62f46da9b06601e3787922e},
    document_type={Article},
    source={Scopus},
    }
  • Sparse estimation by exponential weighting

    Statistical science, vol. 27, iss. 4, pp. 558-575, 2012.

    By P. Rigollet and A. B. Tsybakov

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    @ARTICLE{Rigollet2012558,
    author={Rigollet, P. and Tsybakov, A.B.},
    title={Sparse estimation by exponential weighting},
    journal={Statistical Science},
    year={2012},
    volume={27},
    number={4},
    pages={558-575},
    doi={10.1214/12-STS393},
    note={cited By 53},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871564349&doi=10.1214%2f12-STS393&partnerID=40&md5=d4d5154252826c1a4cc2274dc828ccac},
    document_type={Article},
    source={Scopus},
    }
  • Comment

    Statistica sinica, vol. 22, iss. 4, pp. 1358-1367, 2012.

    By P. Rigollet and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Rigollet20121358,
    author={Rigollet, P. and Tsybakov, A.B.},
    title={Comment},
    journal={Statistica Sinica},
    year={2012},
    volume={22},
    number={4},
    pages={1358-1367},
    doi={10.5705/ss.2010.253},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866857300&doi=10.5705%2fss.2010.253&partnerID=40&md5=4ccc5ea95b265453b2953396f2c8d812},
    document_type={Note},
    source={Scopus},
    }
  • Bayesian nonparametric estimation of the spectral density of a long or intermediate memory gaussian process

    Annals of statistics, vol. 40, iss. 2, pp. 964-995, 2012.

    By J. Rousseau, N. Chopin, and B. Liseo

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    @ARTICLE{Rousseau2012964,
    author={Rousseau, J. and Chopin, N. and Liseo, B.},
    title={Bayesian nonparametric estimation of the spectral density of a long or intermediate memory gaussian process},
    journal={Annals of Statistics},
    year={2012},
    volume={40},
    number={2},
    pages={964-995},
    doi={10.1214/11-AOS955},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872066330&doi=10.1214%2f11-AOS955&partnerID=40&md5=530457e02a1f0d526c0a8143f3beb72a},
    document_type={Article},
    source={Scopus},
    }
  • Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression

    Electronic journal of statistics, vol. 6, pp. 579-655, 2012.

    By A. Saumard

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    @ARTICLE{Saumard2012579,
    author={Saumard, A.},
    title={Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression},
    journal={Electronic Journal of Statistics},
    year={2012},
    volume={6},
    pages={579-655},
    doi={10.1214/12-EJS679},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875388531&doi=10.1214%2f12-EJS679&partnerID=40&md5=ea858e50419342b415496cee38bddfff},
    document_type={Article},
    source={Scopus},
    }
  • Optimal portfolios with end-of-period target

    Advances in decision sciences, vol. 2012, 2012.

    By H. Shiraishi, H. Ogata, T. Amano, V. Patilea, D. Veredas, and M. Taniguchi

    [DOI] [Bibtex]

    @ARTICLE{Shiraishi2012,
    author={Shiraishi, H. and Ogata, H. and Amano, T. and Patilea, V. and Veredas, D. and Taniguchi, M.},
    title={Optimal portfolios with end-of-period target},
    journal={Advances in Decision Sciences},
    year={2012},
    volume={2012},
    doi={10.1155/2012/703465},
    art_number={703465},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858329373&doi=10.1155%2f2012%2f703465&partnerID=40&md5=c3755b3181946b53b0b806ff764194ee},
    document_type={Article},
    source={Scopus},
    }
  • On the quasi-likelihood estimation for random coefficient autoregressions

    Statistics, vol. 46, iss. 4, pp. 505-521, 2012.

    By L. Truquet and J. Yao

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    @ARTICLE{Truquet2012505,
    author={Truquet, L. and Yao, J.},
    title={On the quasi-likelihood estimation for random coefficient autoregressions},
    journal={Statistics},
    year={2012},
    volume={46},
    number={4},
    pages={505-521},
    doi={10.1080/02331888.2010.541557},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863816864&doi=10.1080%2f02331888.2010.541557&partnerID=40&md5=bbb59acf076785ec00a32bff70ca07d4},
    document_type={Article},
    source={Scopus},
    }

2011

  • Generalization of ℓ1 constraints for high dimensional regression problems

    Statistics and probability letters, vol. 81, iss. 12, pp. 1760-1765, 2011.

    By P. Alquier and M. Hebiri

    [DOI] [Bibtex]

    @ARTICLE{Alquier20111760,
    author={Alquier, P. and Hebiri, M.},
    title={Generalization of ℓ1 constraints for high dimensional regression problems},
    journal={Statistics and Probability Letters},
    year={2011},
    volume={81},
    number={12},
    pages={1760-1765},
    doi={10.1016/j.spl.2011.07.011},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053648228&doi=10.1016%2fj.spl.2011.07.011&partnerID=40&md5=f54a165bc13f86bc3a93dfc64af26702},
    document_type={Article},
    source={Scopus},
    }
  • Estimation of high-dimensional low-rank matrices

    Annals of statistics, vol. 39, iss. 2, pp. 887-930, 2011.

    By R. Angelika and A. B. Tsybakov

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    @ARTICLE{Angelika2011887,
    author={Angelika, R. and Tsybakov, A.B.},
    title={Estimation of high-dimensional low-rank matrices},
    journal={Annals of Statistics},
    year={2011},
    volume={39},
    number={2},
    pages={887-930},
    doi={10.1214/10-AOS860},
    note={cited By 145},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952902758&doi=10.1214%2f10-AOS860&partnerID=40&md5=2668e73f1982412a7ea19c15a59e452a},
    document_type={Article},
    source={Scopus},
    }
  • Robust linear least squares regression

    Annals of statistics, vol. 39, iss. 5, pp. 2766-2794, 2011.

    By J. -Y. Audibert and O. Catoni

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    @ARTICLE{Audibert20112766,
    author={Audibert, J.-Y. and Catoni, O.},
    title={Robust linear least squares regression},
    journal={Annals of Statistics},
    year={2011},
    volume={39},
    number={5},
    pages={2766-2794},
    doi={10.1214/11-AOS918},
    note={cited By 63},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868123239&doi=10.1214%2f11-AOS918&partnerID=40&md5=91d7e04a920177096c6bb738ca48ab1c},
    document_type={Article},
    source={Scopus},
    }
  • Quadratic functional estimation in inverse problems

    Statistical methodology, vol. 8, iss. 1, pp. 31-41, 2011.

    By C. Butucea and K. Meziani

    [DOI] [Bibtex]

    @ARTICLE{Butucea201131,
    author={Butucea, C. and Meziani, K.},
    title={Quadratic functional estimation in inverse problems},
    journal={Statistical Methodology},
    year={2011},
    volume={8},
    number={1},
    pages={31-41},
    doi={10.1016/j.stamet.2010.05.002},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649689022&doi=10.1016%2fj.stamet.2010.05.002&partnerID=40&md5=3f3e5c7651bc05690430dc4eed84530d},
    document_type={Article},
    source={Scopus},
    }
  • A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test

    Statistical methods in medical research, vol. 20, iss. 5, pp. 541-550, 2011.

    By D. Böhning, H. Holling, and V. Patilea

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    @ARTICLE{Böhning2011541,
    author={Böhning, D. and Holling, H. and Patilea, V.},
    title={A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test},
    journal={Statistical Methods in Medical Research},
    year={2011},
    volume={20},
    number={5},
    pages={541-550},
    doi={10.1177/0962280210374532},
    note={cited By 45},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80155136203&doi=10.1177%2f0962280210374532&partnerID=40&md5=8a647d1be367fe912e9f319e32a0cecf},
    document_type={Article},
    source={Scopus},
    }
  • Fast simulation of truncated gaussian distributions

    Statistics and computing, vol. 21, iss. 2, pp. 275-288, 2011.

    By N. Chopin

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    @ARTICLE{Chopin2011275,
    author={Chopin, N.},
    title={Fast simulation of truncated Gaussian distributions},
    journal={Statistics and Computing},
    year={2011},
    volume={21},
    number={2},
    pages={275-288},
    doi={10.1007/s11222-009-9168-1},
    note={cited By 53},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951550930&doi=10.1007%2fs11222-009-9168-1&partnerID=40&md5=8ad475abcb6e37296e589e17d7e1f467},
    document_type={Article},
    source={Scopus},
    }
  • Stability of feynman-kac formulae with path-dependent potentials

    Stochastic processes and their applications, vol. 121, iss. 1, pp. 38-60, 2011.

    By N. Chopin, P. Del Moral, and S. Rubenthaler

    [DOI] [Bibtex]

    @ARTICLE{Chopin201138,
    author={Chopin, N. and Del Moral, P. and Rubenthaler, S.},
    title={Stability of Feynman-Kac formulae with path-dependent potentials},
    journal={Stochastic Processes and their Applications},
    year={2011},
    volume={121},
    number={1},
    pages={38-60},
    doi={10.1016/j.spa.2010.08.012},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149471152&doi=10.1016%2fj.spa.2010.08.012&partnerID=40&md5=b2c3b839946600cb56f4ea2540b5f1cc},
    document_type={Article},
    source={Scopus},
    }
  • Clustering rankings in the fourier domain

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6911 LNAI, iss. PART 1, pp. 343-358, 2011.

    By S. Clemençon, R. Gaudel, and J. Jakubowicz

    [DOI] [Bibtex]

    @ARTICLE{Clemençon2011343,
    author={Clemençon, S. and Gaudel, R. and Jakubowicz, J.},
    title={Clustering rankings in the Fourier domain},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2011},
    volume={6911 LNAI},
    number={PART 1},
    pages={343-358},
    doi={10.1007/978-3-642-23780-5_32},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052423833&doi=10.1007%2f978-3-642-23780-5_32&partnerID=40&md5=d0240c5627b3214d5afadac9cc37b583},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Tight conditions for consistent variable selection in high dimensional nonparametric regression

    Journal of machine learning research, vol. 19, iss. None, pp. 187-205, 2011.

    By L. Comminges and A. S. Dalalyan

    [Bibtex]

    @ARTICLE{Comminges2011TightRegression,
    author = {Laëtitia Comminges and Arnak S. Dalalyan},
    title = {{Tight conditions for consistent variable selection in high dimensional nonparametric regression}},
    journal = {Journal of Machine Learning Research},
    year = {2011},
    volume = {19},
    number = {None},
    pages = {187-205}}
  • Tight conditions for consistent variable selection in high dimensional nonparametric regression

    Journal of machine learning research, vol. 19, pp. 187-205, 2011.

    By L. Comminges and A. S. Dalalyan

    [Bibtex]

    @ARTICLE{Comminges2011187,
    author={Comminges, L. and Dalalyan, A.S.},
    title={Tight conditions for consistent variable selection in high dimensional nonparametric regression},
    journal={Journal of Machine Learning Research},
    year={2011},
    volume={19},
    pages={187-205},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873389494&partnerID=40&md5=599a178757ca5086dbdc54dba8e7e81f},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Competing against the best nearest neighbor filter in regression

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6925 LNAI, pp. 129-143, 2011.

    By A. S. Dalalyan and J. Salmon

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan2011129,
    author={Dalalyan, A.S. and Salmon, J.},
    title={Competing against the best nearest neighbor filter in regression},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2011},
    volume={6925 LNAI},
    pages={129-143},
    doi={10.1007/978-3-642-24412-4_13},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054093390&doi=10.1007%2f978-3-642-24412-4_13&partnerID=40&md5=b67055016739808aca5ca10ebf45bd97},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Second-order asymptotic expansion for a non-synchronous covariation estimator

    Annales de l’institut henri poincare (b) probability and statistics, vol. 47, iss. 3, pp. 748-789, 2011.

    By A. Dalalyan and N. Yoshida

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan2011748,
    author={Dalalyan, A. and Yoshida, N.},
    title={Second-order asymptotic expansion for a non-synchronous covariation estimator},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2011},
    volume={47},
    number={3},
    pages={748-789},
    doi={10.1214/10-AIHP383},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960165359&doi=10.1214%2f10-AIHP383&partnerID=40&md5=ba40bad55f6f86a1b1ea3cc9da2c112c},
    document_type={Article},
    source={Scopus},
    }
  • Description of random fields by means of one-point finite-conditional distributions

    Journal of contemporary mathematical analysis, vol. 46, iss. 2, pp. 113-119, 2011.

    By A. S. Dalalyan and B. S. Nahapetian

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    @ARTICLE{Dalalyan2011113,
    author={Dalalyan, A.S. and Nahapetian, B.S.},
    title={Description of random fields by means of one-point finite-conditional distributions},
    journal={Journal of Contemporary Mathematical Analysis},
    year={2011},
    volume={46},
    number={2},
    pages={113-119},
    doi={10.3103/S1068362311020075},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955669806&doi=10.3103%2fS1068362311020075&partnerID=40&md5=2fbffb6de535cb74e0d965fcd75c2d0f},
    document_type={Article},
    source={Scopus},
    }
  • A principled method for exploiting opening books

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6515 LNCS, pp. 136-144, 2011.

    By R. Gaudel, J. -B. Hoock, J. Perez, N. Sokolovska, and O. Teytaud

    [DOI] [Bibtex]

    @ARTICLE{Gaudel2011136,
    author={Gaudel, R. and Hoock, J.-B. and Perez, J. and Sokolovska, N. and Teytaud, O.},
    title={A principled method for exploiting opening books},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2011},
    volume={6515 LNCS},
    pages={136-144},
    doi={10.1007/978-3-642-17928-0_13},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952011310&doi=10.1007%2f978-3-642-17928-0_13&partnerID=40&md5=6028201ea025d90299e1796e7777d6f5},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Hyper-sparse optimal aggregation

    Journal of machine learning research, vol. 12, iss. None, pp. 1813-1833, 2011.

    By S. Gaiffas and G. Lecue

    [Bibtex]

    @ARTICLE{Gaiffas2011Hyper-SparseAggregation,
    author = {Stephane Gaiffas and Guillaume Lecue},
    title = {{Hyper-sparse optimal aggregation}},
    journal = {Journal of Machine Learning Research},
    year = {2011},
    volume = {12},
    number = {None},
    pages = {1813-1833}}
  • Sharp oracle inequalities for high-dimensional matrix prediction

    Ieee transactions on information theory, vol. 57, iss. 10, pp. 6942-6957, 2011.

    By S. Gaiffas and G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Gaiffas20116942,
    author={Gaiffas, S. and Lecue, G.},
    title={Sharp oracle inequalities for high-dimensional matrix prediction},
    journal={IEEE Transactions on Information Theory},
    year={2011},
    volume={57},
    number={10},
    pages={6942-6957},
    doi={10.1109/TIT.2011.2136318},
    art_number={6034724},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054004560&doi=10.1109%2fTIT.2011.2136318&partnerID=40&md5=1721d76e2c1fabf2b8ea7c0b98264383},
    document_type={Article},
    source={Scopus},
    }
  • Hyper-sparse optimal aggregation

    Journal of machine learning research, vol. 12, pp. 1813-1833, 2011.

    By S. Gaiffas and G. Lecue

    [Bibtex]

    @ARTICLE{Gaiffas20111813,
    author={Gaiffas, S. and Lecue, G.},
    title={Hyper-sparse optimal aggregation},
    journal={Journal of Machine Learning Research},
    year={2011},
    volume={12},
    pages={1813-1833},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960119506&partnerID=40&md5=dff2e8e3c0c3b4c3ad0ee9ca3f103f77},
    document_type={Article},
    source={Scopus},
    }
  • The smooth-lasso and other ℓ1 + ℓ2-penalized methods

    Electronic journal of statistics, vol. 5, pp. 1184-1226, 2011.

    By M. Hebiri and S. van de Geer

    [DOI] [Bibtex]

    @ARTICLE{Hebiri20111184,
    author={Hebiri, M. and van de Geer, S.},
    title={The smooth-lasso and other ℓ1 + ℓ2-penalized methods},
    journal={Electronic Journal of Statistics},
    year={2011},
    volume={5},
    pages={1184-1226},
    doi={10.1214/11-EJS638},
    note={cited By 44},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858077893&doi=10.1214%2f11-EJS638&partnerID=40&md5=c2498ce90d2a433def31aa0562d6186c},
    document_type={Article},
    source={Scopus},
    }
  • A p-order signed integer-valued autoregressive (sinar(p)) model

    Journal of time series analysis, vol. 32, iss. 3, pp. 223-236, 2011.

    By M. Kachour and L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Kachour2011223,
    author={Kachour, M. and Truquet, L.},
    title={A p-Order signed integer-valued autoregressive (SINAR(p)) model},
    journal={Journal of Time Series Analysis},
    year={2011},
    volume={32},
    number={3},
    pages={223-236},
    doi={10.1111/j.1467-9892.2010.00694.x},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953859662&doi=10.1111%2fj.1467-9892.2010.00694.x&partnerID=40&md5=5251d0880fe39489c2e3a538a2dd3c15},
    document_type={Article},
    source={Scopus},
    }
  • Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion

    Annals of statistics, vol. 39, iss. 5, pp. 2302-2329, 2011.

    By V. Koltchinskii, K. Lounici, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Koltchinskii20112302,
    author={Koltchinskii, V. and Lounici, K. and Tsybakov, A.B.},
    title={Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion},
    journal={Annals of Statistics},
    year={2011},
    volume={39},
    number={5},
    pages={2302-2329},
    doi={10.1214/11-AOS894},
    note={cited By 242},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-82655171609&doi=10.1214%2f11-AOS894&partnerID=40&md5=d196bec4fb075748b70cefb4eb5e33fc},
    document_type={Article},
    source={Scopus},
    }
  • An oracle approach for interaction neighborhood estimation in random fields

    Electronic journal of statistics, vol. 5, pp. 534-571, 2011.

    By M. Lerasle and D. Y. Takahashi

    [DOI] [Bibtex]

    @ARTICLE{Lerasle2011534,
    author={Lerasle, M. and Takahashi, D.Y.},
    title={An oracle approach for interaction neighborhood estimation in random fields},
    journal={Electronic Journal of Statistics},
    year={2011},
    volume={5},
    pages={534-571},
    doi={10.1214/11-EJS618},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961017280&doi=10.1214%2f11-EJS618&partnerID=40&md5=668f554eb304a0c0844288d5056cff4f},
    document_type={Article},
    source={Scopus},
    }
  • Optimal model selection for density estimation of stationary data under various mixing conditions

    Annals of statistics, vol. 39, iss. 4, pp. 1852-1877, 2011.

    By M. Lerasle

    [DOI] [Bibtex]

    @ARTICLE{Lerasle20111852,
    author={Lerasle, M.},
    title={Optimal model selection for density estimation of stationary data under various mixing conditions},
    journal={Annals of Statistics},
    year={2011},
    volume={39},
    number={4},
    pages={1852-1877},
    doi={10.1214/11-AOS888},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052846355&doi=10.1214%2f11-AOS888&partnerID=40&md5=9d6a596e33810a10dc47a3ee2ea5468c},
    document_type={Article},
    source={Scopus},
    }
  • Oracle inequalities and optimal inference under group sparsity

    Annals of statistics, vol. 39, iss. 4, pp. 2164-2204, 2011.

    By K. Lounici, M. Pontil, S. Van De Geer, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Lounici20112164,
    author={Lounici, K. and Pontil, M. and Van De Geer, S. and Tsybakov, A.B.},
    title={Oracle inequalities and optimal inference under group sparsity},
    journal={Annals of Statistics},
    year={2011},
    volume={39},
    number={4},
    pages={2164-2204},
    doi={10.1214/11-AOS896},
    note={cited By 128},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855412474&doi=10.1214%2f11-AOS896&partnerID=40&md5=7b317396150f020886542c98172397db},
    document_type={Article},
    source={Scopus},
    }
  • Robust approachability and regret minimization in games with partial monitoring

    Journal of machine learning research, vol. 19, iss. None, pp. 515-536, 2011.

    By S. Mannor, V. Perchet, and G. Stoltz

    [Bibtex]

    @ARTICLE{Mannor2011RobustMonitoring,
    author = {Shie Mannor and Vianney Perchet and Gilles Stoltz},
    title = {{Robust approachability and regret minimization in games with partial monitoring}},
    journal = {Journal of Machine Learning Research},
    year = {2011},
    volume = {19},
    number = {None},
    pages = {515-536}}
  • Robust approachability and regret minimization in games with partial monitoring

    Journal of machine learning research, vol. 19, pp. 515-536, 2011.

    By S. Mannor, V. Perchet, and G. Stoltz

    [Bibtex]

    @ARTICLE{Mannor2011515,
    author={Mannor, S. and Perchet, V. and Stoltz, G.},
    title={Robust approachability and regret minimization in games with partial monitoring},
    journal={Journal of Machine Learning Research},
    year={2011},
    volume={19},
    pages={515-536},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898445296&partnerID=40&md5=f107077fb5c959de65bb8d0585fdfcf7},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Internal regret with partial monitoring: Calibration-based optimal algorithms

    Journal of machine learning research, vol. 12, iss. None, pp. 1896-1921, 2011.

    By V. Perchet

    [Bibtex]

    @ARTICLE{Perchet2011InternalAlgorithms,
    author = {Vianney Perchet},
    title = {{Internal regret with partial monitoring: Calibration-based optimal algorithms}},
    journal = {Journal of Machine Learning Research},
    year = {2011},
    volume = {12},
    number = {None},
    pages = {1896-1921}}
  • Approachability of convex sets in games with partial monitoring

    Journal of optimization theory and applications, vol. 149, iss. 3, pp. 665-677, 2011.

    By V. Perchet

    [DOI] [Bibtex]

    @ARTICLE{Perchet2011665,
    author={Perchet, V.},
    title={Approachability of Convex Sets in Games with Partial Monitoring},
    journal={Journal of Optimization Theory and Applications},
    year={2011},
    volume={149},
    number={3},
    pages={665-677},
    doi={10.1007/s10957-011-9797-3},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955809186&doi=10.1007%2fs10957-011-9797-3&partnerID=40&md5=1a642a143c2fbf8638a0ec85a935e67a},
    document_type={Article},
    source={Scopus},
    }
  • Internal regret with partial monitoring: calibration-based optimal algorithms

    Journal of machine learning research, vol. 12, pp. 1896-1921, 2011.

    By V. Perchet

    [Bibtex]

    @ARTICLE{Perchet20111896,
    author={Perchet, V.},
    title={Internal regret with partial monitoring: Calibration-based optimal algorithms},
    journal={Journal of Machine Learning Research},
    year={2011},
    volume={12},
    pages={1896-1921},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960129843&partnerID=40&md5=548ae0aa9f08eea311b2e7f4bcf3f575},
    document_type={Article},
    source={Scopus},
    }
  • Exponential screening and optimal rates of sparse estimation

    Annals of statistics, vol. 39, iss. 2, pp. 731-771, 2011.

    By P. Rigollet and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Rigollet2011731,
    author={Rigollet, P. and Tsybakov, A.},
    title={Exponential screening and optimal rates of sparse estimation},
    journal={Annals of Statistics},
    year={2011},
    volume={39},
    number={2},
    pages={731-771},
    doi={10.1214/10-AOS854},
    note={cited By 97},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952982333&doi=10.1214%2f10-AOS854&partnerID=40&md5=e5a13925b149adb416ef5ad4169d13c8},
    document_type={Article},
    source={Scopus},
    }
  • Optimal aggregation of affine estimators

    Journal of machine learning research, vol. 19, iss. None, pp. 635-660, 2011.

    By J. Salmon and A. Dalalyan

    [Bibtex]

    @ARTICLE{Salmon2011OptimalEstimators,
    author = {Joseph Salmon and Arnak Dalalyan},
    title = {{Optimal aggregation of affine estimators}},
    journal = {Journal of Machine Learning Research},
    year = {2011},
    volume = {19},
    number = {None},
    pages = {635-660}}
  • Optimal aggregation of affine estimators

    Journal of machine learning research, vol. 19, pp. 635-660, 2011.

    By J. Salmon and A. Dalalyan

    [Bibtex]

    @ARTICLE{Salmon2011635,
    author={Salmon, J. and Dalalyan, A.},
    title={Optimal aggregation of affine estimators},
    journal={Journal of Machine Learning Research},
    year={2011},
    volume={19},
    pages={635-660},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898450217&partnerID=40&md5=8e2abd3e1b381c00901c712afeb06e8e},
    document_type={Conference Paper},
    source={Scopus},
    }
  • On a nonparametric resampling scheme for markov random fields

    Electronic journal of statistics, vol. 5, pp. 1503-1536, 2011.

    By L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Truquet20111503,
    author={Truquet, L.},
    title={On a nonparametric resampling scheme for Markov random fields},
    journal={Electronic Journal of Statistics},
    year={2011},
    volume={5},
    pages={1503-1536},
    doi={10.1214/11-EJS644},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859879708&doi=10.1214%2f11-EJS644&partnerID=40&md5=536e1e60848e2006baea4f2a50029fc9},
    document_type={Article},
    source={Scopus},
    }

2010

  • Noisy independent factor analysis model for density estimation and classification

    Electronic journal of statistics, vol. 4, pp. 707-736, 2010.

    By U. Amatok, A. Antoniadis, A. Samarov, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Amatok2010707,
    author={Amatok, U. and Antoniadis, A. and Samarov, A. and Tsybakov, A.B.},
    title={Noisy independent factor analysis model for density estimation and classification},
    journal={Electronic Journal of Statistics},
    year={2010},
    volume={4},
    pages={707-736},
    doi={10.1214/09-EJS498},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996854813&doi=10.1214%2f09-EJS498&partnerID=40&md5=22ccee5a4f4b5e0fdb0b8d1403b2b4cf},
    document_type={Article},
    source={Scopus},
    }
  • Towards optimal naive bayes nearest neighbor

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6314 LNCS, iss. PART 4, pp. 171-184, 2010.

    By R. Behmo, P. Marcombes, A. Dalalyan, and V. Prinet

    [DOI] [Bibtex]

    @ARTICLE{Behmo2010171,
    author={Behmo, R. and Marcombes, P. and Dalalyan, A. and Prinet, V.},
    title={Towards optimal naive bayes nearest neighbor},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2010},
    volume={6314 LNCS},
    number={PART 4},
    pages={171-184},
    doi={10.1007/978-3-642-15561-1_13},
    note={cited By 40},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149351842&doi=10.1007%2f978-3-642-15561-1_13&partnerID=40&md5=f2d63aa8651cc4c3e1657e3d388f42e7},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Spades and mixture models

    Annals of statistics, vol. 38, iss. 4, pp. 2525-2558, 2010.

    By F. Bunea, A. B. Tsybakov, M. H. Wegkamp, and A. Barbu

    [DOI] [Bibtex]

    @ARTICLE{Bunea20102525,
    author={Bunea, F. and Tsybakov, A.B. and Wegkamp, M.H. and Barbu, A.},
    title={SPADES and mixture models},
    journal={Annals of Statistics},
    year={2010},
    volume={38},
    number={4},
    pages={2525-2558},
    doi={10.1214/09-AOS790},
    note={cited By 25},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955153854&doi=10.1214%2f09-AOS790&partnerID=40&md5=c9244cd8eb109fb2c17a85d269d01db9},
    document_type={Article},
    source={Scopus},
    }
  • Smoothing low resolution gamma spectra

    Ieee transactions on nuclear science, vol. 57, iss. 5 PART 3, pp. 2831-2840, 2010.

    By T. Burr, N. Hengartner, E. Matzner-Lober, S. Myers, and L. Rouviere

    [DOI] [Bibtex]

    @ARTICLE{Burr20102831,
    author={Burr, T. and Hengartner, N. and Matzner-Lober, E. and Myers, S. and Rouviere, L.},
    title={Smoothing low resolution gamma spectra},
    journal={IEEE Transactions on Nuclear Science},
    year={2010},
    volume={57},
    number={5 PART 3},
    pages={2831-2840},
    doi={10.1109/TNS.2010.2054110},
    art_number={5557776},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953780215&doi=10.1109%2fTNS.2010.2054110&partnerID=40&md5=1ec8ea5fabf288db78d9ac6ab36e3fcc},
    document_type={Article},
    source={Scopus},
    }
  • Properties of nested sampling

    Biometrika, vol. 97, iss. 3, pp. 741-755, 2010.

    By N. Chopin and C. P. Robert

    [DOI] [Bibtex]

    @ARTICLE{Chopin2010741,
    author={Chopin, N. and Robert, C.P.},
    title={Properties of nested sampling},
    journal={Biometrika},
    year={2010},
    volume={97},
    number={3},
    pages={741-755},
    doi={10.1093/biomet/asq021},
    note={cited By 49},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955861158&doi=10.1093%2fbiomet%2fasq021&partnerID=40&md5=cc05fc1a85b552e1b5c326d62949bd07},
    document_type={Article},
    source={Scopus},
    }
  • Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6312 LNCS, iss. PART 2, pp. 85-99, 2010.

    By J. Courchay, A. Dalalyan, R. Keriven, and P. Sturm

    [DOI] [Bibtex]

    @ARTICLE{Courchay201085,
    author={Courchay, J. and Dalalyan, A. and Keriven, R. and Sturm, P.},
    title={Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2010},
    volume={6312 LNCS},
    number={PART 2},
    pages={85-99},
    doi={10.1007/978-3-642-15552-9_7},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149352644&doi=10.1007%2f978-3-642-15552-9_7&partnerID=40&md5=812a741c83f57569ad1f620fd2ef7cd2},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Quantum u-statistics

    Journal of mathematical physics, vol. 51, iss. 10, 2010.

    By M. Guţǎ and C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Guţǎ2010,
    author={Guţǎ, M. and Butucea, C.},
    title={Quantum U-statistics},
    journal={Journal of Mathematical Physics},
    year={2010},
    volume={51},
    number={10},
    doi={10.1063/1.3476776},
    art_number={102202},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149486128&doi=10.1063%2f1.3476776&partnerID=40&md5=1ff9ed691d97994a2c38ebf973d7a333},
    document_type={Article},
    source={Scopus},
    }
  • Sparse conformal predictors: scp

    Statistics and computing, vol. 20, iss. 2, pp. 253-266, 2010.

    By M. Hebiri

    [DOI] [Bibtex]

    @ARTICLE{Hebiri2010253,
    author={Hebiri, M.},
    title={Sparse conformal predictors: SCP},
    journal={Statistics and Computing},
    year={2010},
    volume={20},
    number={2},
    pages={253-266},
    doi={10.1007/s11222-009-9167-2},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953323776&doi=10.1007%2fs11222-009-9167-2&partnerID=40&md5=4bbe7ede3209295185310f97b5f00032},
    document_type={Article},
    source={Scopus},
    }
  • Detection boundary in sparse regression

    Electronic journal of statistics, vol. 4, pp. 1476-1526, 2010.

    By Y. I. Ingster, A. B. Tsybakov, and N. Verzelen

    [DOI] [Bibtex]

    @ARTICLE{Ingster20101476,
    author={Ingster, Y.I. and Tsybakov, A.B. and Verzelen, N.},
    title={Detection boundary in sparse regression},
    journal={Electronic Journal of Statistics},
    year={2010},
    volume={4},
    pages={1476-1526},
    doi={10.1214/10-EJS589},
    note={cited By 54},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-82655182652&doi=10.1214%2f10-EJS589&partnerID=40&md5=0b9e5b75077d73e4668d3b72b1ea50f1},
    document_type={Article},
    source={Scopus},
    }
  • Sharper lower bounds on the performance of the empirical risk minimization algorithm

    Bernoulli, vol. 16, iss. 3, pp. 605-613, 2010.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue2010605,
    author={Lecue, G. and Mendelson, S.},
    title={Sharper lower bounds on the performance of the empirical risk minimization algorithm},
    journal={Bernoulli},
    year={2010},
    volume={16},
    number={3},
    pages={605-613},
    doi={10.3150/09-BEJ225},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957597566&doi=10.3150%2f09-BEJ225&partnerID=40&md5=d41a0ecc04b1ee9885bbed463ea7c056},
    document_type={Article},
    source={Scopus},
    }
  • Sparse recovery under matrix uncertainty

    Annals of statistics, vol. 38, iss. 5, pp. 2620-2651, 2010.

    By M. Rosenbaum and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Rosenbaum20102620,
    author={Rosenbaum, M. and Tsybakov, A.B.},
    title={Sparse recovery under matrix uncertainty},
    journal={Annals of Statistics},
    year={2010},
    volume={38},
    number={5},
    pages={2620-2651},
    doi={10.1214/10-AOS793},
    note={cited By 68},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957596337&doi=10.1214%2f10-AOS793&partnerID=40&md5=55eb0b56c672d7bbf7a0296a5da1d590},
    document_type={Article},
    source={Scopus},
    }
  • A moment inequality of the marcinkiewicz-zygmund type for some weakly dependent random fields

    Statistics and probability letters, vol. 80, iss. 21-22, pp. 1673-1679, 2010.

    By L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Truquet20101673,
    author={Truquet, L.},
    title={A moment inequality of the Marcinkiewicz-Zygmund type for some weakly dependent random fields},
    journal={Statistics and Probability Letters},
    year={2010},
    volume={80},
    number={21-22},
    pages={1673-1679},
    doi={10.1016/j.spl.2010.07.011},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955843572&doi=10.1016%2fj.spl.2010.07.011&partnerID=40&md5=f8be12add17b7caa515315508a332be4},
    document_type={Article},
    source={Scopus},
    }
  • Efficient estimation for a subclass of shape invariant models

    Annals of statistics, vol. 38, iss. 3, pp. 1885-1912, 2010.

    By M. Vimond

    [DOI] [Bibtex]

    @ARTICLE{Vimond20101885,
    author={Vimond, M.},
    title={Efficient estimation for a subclass of shape invariant models},
    journal={Annals of Statistics},
    year={2010},
    volume={38},
    number={3},
    pages={1885-1912},
    doi={10.1214/07-AOS566},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951491268&doi=10.1214%2f07-AOS566&partnerID=40&md5=3e0f9b215d3205522d92abe1d52fcc0d},
    document_type={Article},
    source={Scopus},
    }

2009

  • State estimation in quantum homodyne tomography with noisy data

    Inverse problems, vol. 25, iss. 1, 2009.

    By J. -M. Aubry, C. Butucea, and K. Meziani

    [DOI] [Bibtex]

    @ARTICLE{Aubry2009,
    author={Aubry, J.-M. and Butucea, C. and Meziani, K.},
    title={State estimation in quantum homodyne tomography with noisy data},
    journal={Inverse Problems},
    year={2009},
    volume={25},
    number={1},
    doi={10.1088/0266-5611/25/1/015003},
    art_number={015003},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-62649162297&doi=10.1088%2f0266-5611%2f25%2f1%2f015003&partnerID=40&md5=61bb67d0b0b68a2207daa6fd25d5cf71},
    document_type={Article},
    source={Scopus},
    }
  • Simultaneous analysis of lasso and dantzig selector

    Annals of statistics, vol. 37, iss. 4, pp. 1705-1732, 2009.

    By P. J. Bickel, Y. Ritov, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Bickel20091705,
    author={Bickel, P.J. and Ritov, Y. and Tsybakov, A.B.},
    title={Simultaneous analysis of lasso and dantzig selector},
    journal={Annals of Statistics},
    year={2009},
    volume={37},
    number={4},
    pages={1705-1732},
    doi={10.1214/08-AOS620},
    note={cited By 997},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-68649086910&doi=10.1214%2f08-AOS620&partnerID=40&md5=b8ffcda43fe91ef6d82f928222d9b084},
    document_type={Article},
    source={Scopus},
    }
  • Estimation of translation, rotation, and scaling between noisy images using the fourier-mellin transform

    Siam journal on imaging sciences, vol. 2, iss. 2, pp. 614-645, 2009.

    By J. Bigot, F. Gamboa, and M. Vimond

    [DOI] [Bibtex]

    @ARTICLE{Bigot2009614,
    author={Bigot, J. and Gamboa, F. and Vimond, M.},
    title={Estimation of translation, rotation, and scaling between noisy images using the fourier-mellin transform},
    journal={SIAM Journal on Imaging Sciences},
    year={2009},
    volume={2},
    number={2},
    pages={614-645},
    doi={10.1137/070691231},
    note={cited By 25},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016487272&doi=10.1137%2f070691231&partnerID=40&md5=e65cf769f2de3243f23f88c5b724a829},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive estimation of linear functionals in the convolution model and applications

    Bernoulli, vol. 15, iss. 1, pp. 69-98, 2009.

    By C. Butucea and F. Comte

    [DOI] [Bibtex]

    @ARTICLE{Butucea200969,
    author={Butucea, C. and Comte, F.},
    title={Adaptive estimation of linear functionals in the convolution model and applications},
    journal={Bernoulli},
    year={2009},
    volume={15},
    number={1},
    pages={69-98},
    doi={10.3150/08-BEJ146},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-62749090971&doi=10.3150%2f08-BEJ146&partnerID=40&md5=ea527f9ead042e4212031d18cb0409ae},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive goodness-of-fit testing from indirect observations

    Annales de l’institut henri poincare (b) probability and statistics, vol. 45, iss. 2, pp. 352-372, 2009.

    By C. Butucea, C. Matias, and C. Pouet

    [DOI] [Bibtex]

    @ARTICLE{Butucea2009352,
    author={Butucea, C. and Matias, C. and Pouet, C.},
    title={Adaptive goodness-of-fit testing from indirect observations},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2009},
    volume={45},
    number={2},
    pages={352-372},
    doi={10.1214/08-AIHP166},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952036467&doi=10.1214%2f08-AIHP166&partnerID=40&md5=264d1842d82d764bc3f15d933022d7b6},
    document_type={Article},
    source={Scopus},
    }
  • Adapting to unknown smoothness by aggregation of thresholded wavelet estimators

    Statistica sinica, vol. 19, iss. 4, pp. 1407-1417, 2009.

    By C. Chesneau and G. Lecue

    [Bibtex]

    @ARTICLE{Chesneau2009AdaptingEstimators,
    author = {Christophe Chesneau and Guillaume Lecue},
    title = {{Adapting to unknown smoothness by aggregation of thresholded wavelet estimators}},
    journal = {Statistica Sinica},
    year = {2009},
    volume = {19},
    number = {4},
    pages = {1407-1417}}
  • Adapting to unknown smoothness by aggregation of thresholded wavelet estimators

    Statistica sinica, vol. 19, iss. 4, pp. 1407-1417, 2009.

    By C. Chesneau and G. Lecue

    [Bibtex]

    @ARTICLE{Chesneau20091407,
    author={Chesneau, C. and Lecue, G.},
    title={Adapting to unknown smoothness by aggregation of thresholded wavelet estimators},
    journal={Statistica Sinica},
    year={2009},
    volume={19},
    number={4},
    pages={1407-1417},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-73249142261&partnerID=40&md5=b10775d0225e14cefcb3437b7cb3cdad},
    document_type={Article},
    source={Scopus},
    }
  • Weak dependence, models and some applications

    Metrika, vol. 69, iss. 2-3, pp. 199-225, 2009.

    By P. Doukhan, N. Mayo, and L. Truquet

    [DOI] [Bibtex]

    @ARTICLE{Doukhan2009199,
    author={Doukhan, P. and Mayo, N. and Truquet, L.},
    title={Weak dependence, models and some applications},
    journal={Metrika},
    year={2009},
    volume={69},
    number={2-3},
    pages={199-225},
    doi={10.1007/s00184-008-0216-1},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-59549098608&doi=10.1007%2fs00184-008-0216-1&partnerID=40&md5=0306366a29b988a92835d76b9326dccf},
    document_type={Article},
    source={Scopus},
    }
  • Classification of sparse high-dimensional vectors

    Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, vol. 367, iss. 1906, pp. 4427-4448, 2009.

    By Y. I. Ingster, C. Pouet, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Ingster20094427,
    author={Ingster, Y.I. and Pouet, C. and Tsybakov, A.B.},
    title={Classification of sparse high-dimensional vectors},
    journal={Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
    year={2009},
    volume={367},
    number={1906},
    pages={4427-4448},
    doi={10.1098/rsta.2009.0156},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-73349083663&doi=10.1098%2frsta.2009.0156&partnerID=40&md5=51466b2adcbc601568448e6c710ef83e},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric estimation of composite functions1

    Annals of statistics, vol. 37, iss. 3, pp. 1360-1404, 2009.

    By A. B. Juditsky, O. V. Lepski, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Juditsky20091360,
    author={Juditsky, A.B. and Lepski, O.V. and Tsybakov, A.B.},
    title={Nonparametric estimation of composite functions1},
    journal={Annals of Statistics},
    year={2009},
    volume={37},
    number={3},
    pages={1360-1404},
    doi={10.1214/08-AOS611},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-68649090471&doi=10.1214%2f08-AOS611&partnerID=40&md5=30fcf2afefba9ebba4613bb6ec265666},
    document_type={Article},
    source={Scopus},
    }
  • Aggregation via empirical risk minimization

    Probability theory and related fields, vol. 145, iss. 4, pp. 591-613, 2009.

    By G. Lecue and S. Mendelson

    [DOI] [Bibtex]

    @ARTICLE{Lecue2009591,
    author={Lecue, G. and Mendelson, S.},
    title={Aggregation via empirical risk minimization},
    journal={Probability Theory and Related Fields},
    year={2009},
    volume={145},
    number={4},
    pages={591-613},
    doi={10.1007/s00440-008-0180-8},
    note={cited By 24},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350012166&doi=10.1007%2fs00440-008-0180-8&partnerID=40&md5=6f3e56ad3275cb61a8131c11e48abbf5},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive density estimation of stationary β-mixing and τ-mixing processes

    Mathematical methods of statistics, vol. 18, iss. 1, pp. 59-83, 2009.

    By M. Lerasle

    [DOI] [Bibtex]

    @ARTICLE{Lerasle200959,
    author={Lerasle, M.},
    title={Adaptive density estimation of stationary β-mixing and τ-mixing processes},
    journal={Mathematical Methods of Statistics},
    year={2009},
    volume={18},
    number={1},
    pages={59-83},
    doi={10.3103/S1066530709010049},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052855959&doi=10.3103%2fS1066530709010049&partnerID=40&md5=12c507f9a24190ce15b7d3b9897afecd},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric lack-of-fit tests for parametric mean-regression models with censored data

    Journal of multivariate analysis, vol. 100, iss. 1, pp. 210-230, 2009.

    By O. Lopez and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Lopez2009210,
    author={Lopez, O. and Patilea, V.},
    title={Nonparametric lack-of-fit tests for parametric mean-regression models with censored data},
    journal={Journal of Multivariate Analysis},
    year={2009},
    volume={100},
    number={1},
    pages={210-230},
    doi={10.1016/j.jmva.2008.04.008},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-55049088816&doi=10.1016%2fj.jmva.2008.04.008&partnerID=40&md5=96e44120fccd71e014753984f57a4648},
    document_type={Article},
    source={Scopus},
    }
  • Calibration and internal no-regret with random signals

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 5809 LNAI, pp. 68-82, 2009.

    By V. Perchet

    [DOI] [Bibtex]

    @ARTICLE{Perchet200968,
    author={Perchet, V.},
    title={Calibration and internal no-regret with random signals},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2009},
    volume={5809 LNAI},
    pages={68-82},
    doi={10.1007/978-3-642-04414-4_10},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952069205&doi=10.1007%2f978-3-642-04414-4_10&partnerID=40&md5=13116f2cdea727641a1611d44b90aede},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Harold jeffreys’s theory of probability revisited

    Statistical science, vol. 24, iss. 2, pp. 141-172, 2009.

    By C. P. Robert, N. Chopin, and J. Rousseau

    [DOI] [Bibtex]

    @ARTICLE{Robert2009141,
    author={Robert, C.P. and Chopin, N. and Rousseau, J.},
    title={Harold Jeffreys's theory of probability revisited},
    journal={Statistical Science},
    year={2009},
    volume={24},
    number={2},
    pages={141-172},
    doi={10.1214/09-STS284},
    note={cited By 63},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955125911&doi=10.1214%2f09-STS284&partnerID=40&md5=99b149c49998619659c3edf9995d63a2},
    document_type={Article},
    source={Scopus},
    }
  • Rejoinder: harold jeffreys’s theory of probability revisited

    Statistical science, vol. 24, iss. 2, pp. 191-194, 2009.

    By C. P. Robert, N. Chopin, and J. Rousseau

    [DOI] [Bibtex]

    @ARTICLE{Robert2009191,
    author={Robert, C.P. and Chopin, N. and Rousseau, J.},
    title={Rejoinder: Harold Jeffreys's theory of probability revisited},
    journal={Statistical Science},
    year={2009},
    volume={24},
    number={2},
    pages={191-194},
    doi={10.1214/09-STS284REJ},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955137079&doi=10.1214%2f09-STS284REJ&partnerID=40&md5=de5f5deb12cc0822e852fec52b5cb610},
    document_type={Article},
    source={Scopus},
    }
  • Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations

    Journal of the royal statistical society. series b: statistical methodology, vol. 71, iss. 2, pp. 319-392, 2009.

    By H. Rue, S. Martino, and N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Rue2009319,
    author={Rue, H. and Martino, S. and Chopin, N.},
    title={Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2009},
    volume={71},
    number={2},
    pages={319-392},
    doi={10.1111/j.1467-9868.2008.00700.x},
    note={cited By 1820},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849120031&doi=10.1111%2fj.1467-9868.2008.00700.x&partnerID=40&md5=323b4a68ce12047755c205e0ffb2a6cf},
    document_type={Article},
    source={Scopus},
    }

2008

  • Selection of variables and dimension reduction in high-dimensional non-parametric regression

    Electronic journal of statistics, vol. 2, pp. 1224-1241, 2008.

    By K. Bertin and G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Bertin20081224,
    author={Bertin, K. and Lecue, G.},
    title={Selection of variables and dimension reduction in high-dimensional non-parametric regression},
    journal={Electronic Journal of Statistics},
    year={2008},
    volume={2},
    pages={1224-1241},
    doi={10.1214/08-EJS327},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79954629336&doi=10.1214%2f08-EJS327&partnerID=40&md5=4938db43a6aec32060e824179db727b5},
    document_type={Article},
    source={Scopus},
    }
  • New m-estimators in semi-parametric regression with errors in variables

    Annales de l’institut henri poincare (b) probability and statistics, vol. 44, iss. 3, pp. 393-421, 2008.

    By C. Butucea and M. -L. Taupin

    [DOI] [Bibtex]

    @ARTICLE{Butucea2008393,
    author={Butucea, C. and Taupin, M.-L.},
    title={New M-estimators in semi-parametric regression with errors in variables},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2008},
    volume={44},
    number={3},
    pages={393-421},
    doi={10.1214/07-AIHP107},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951831051&doi=10.1214%2f07-AIHP107&partnerID=40&md5=83d4e0aac87e338ffd33f024fa5b18e0},
    document_type={Article},
    source={Scopus},
    }
  • Adaptivity in convolution models with partially known noise distribution

    Electronic journal of statistics, vol. 2, pp. 897-915, 2008.

    By C. Butucea, C. Matias, and C. Pouet

    [DOI] [Bibtex]

    @ARTICLE{Butucea2008897,
    author={Butucea, C. and Matias, C. and Pouet, C.},
    title={Adaptivity in convolution models with partially known noise distribution},
    journal={Electronic Journal of Statistics},
    year={2008},
    volume={2},
    pages={897-915},
    doi={10.1214/08-EJS225},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015520340&doi=10.1214%2f08-EJS225&partnerID=40&md5=0618ffb438f8a25aa50987ee97e25f99},
    document_type={Article},
    source={Scopus},
    }
  • Sharp optimality in density deconvolution with dominating bias. ii

    Theory of probability and its applications, vol. 52, iss. 2, pp. 237-249, 2008.

    By C. Butucea and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Butucea2008237,
    author={Butucea, C. and Tsybakov, A.B.},
    title={Sharp optimality in density deconvolution with dominating bias. II},
    journal={Theory of Probability and its Applications},
    year={2008},
    volume={52},
    number={2},
    pages={237-249},
    doi={10.1137/S0040585X97982992},
    note={cited By 30},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47849090751&doi=10.1137%2fS0040585X97982992&partnerID=40&md5=718136cd006e9cfe93f7823b59762034},
    document_type={Article},
    source={Scopus},
    }
  • Sharp optimality in density deconvolution with dominating bias. i

    Theory of probability and its applications, vol. 52, iss. 1, pp. 24-39, 2008.

    By C. Butucea and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Butucea200824,
    author={Butucea, C. and Tsybakov, A.B.},
    title={Sharp optimality in density deconvolution with dominating bias. I},
    journal={Theory of Probability and its Applications},
    year={2008},
    volume={52},
    number={1},
    pages={24-39},
    doi={10.1137/S0040585X97982840},
    note={cited By 27},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-42549171048&doi=10.1137%2fS0040585X97982840&partnerID=40&md5=8a4cdf907b251b9add6725d26904b8a7},
    document_type={Article},
    source={Scopus},
    }
  • A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only

    Journal of the american statistical association, vol. 103, iss. 481, pp. 212-221, 2008.

    By D. Böhning and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Böhning2008212,
    author={Böhning, D. and Patilea, V.},
    title={A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only},
    journal={Journal of the American Statistical Association},
    year={2008},
    volume={103},
    number={481},
    pages={212-221},
    doi={10.1198/016214507000000383},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-42349101163&doi=10.1198%2f016214507000000383&partnerID=40&md5=9acbe085d073161989d13d73983ebd2f},
    document_type={Article},
    source={Scopus},
    }
  • Some theoretical results on the grouped variables lasso

    Mathematical methods of statistics, vol. 17, iss. 4, pp. 317-326, 2008.

    By C. Chesneau and M. Hebiri

    [DOI] [Bibtex]

    @ARTICLE{Chesneau2008317,
    author={Chesneau, C. and Hebiri, M.},
    title={Some theoretical results on the Grouped Variables Lasso},
    journal={Mathematical Methods of Statistics},
    year={2008},
    volume={17},
    number={4},
    pages={317-326},
    doi={10.3103/S1066530708040030},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952566605&doi=10.3103%2fS1066530708040030&partnerID=40&md5=1dc200b18d99793790eb53c8cf90e91e},
    document_type={Article},
    source={Scopus},
    }
  • On the equivalence between standard and sequentially ordered hidden markov models

    Statistics and probability letters, vol. 78, iss. 14, pp. 2171-2174, 2008.

    By N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Chopin20082171,
    author={Chopin, N.},
    title={On the equivalence between standard and sequentially ordered hidden Markov models},
    journal={Statistics and Probability Letters},
    year={2008},
    volume={78},
    number={14},
    pages={2171-2174},
    doi={10.1016/j.spl.2008.02.010},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50649099252&doi=10.1016%2fj.spl.2008.02.010&partnerID=40&md5=f7528913b654aa24574ce1c9bd4d9e7d},
    document_type={Article},
    source={Scopus},
    }
  • A new algorithm for estimating the effective dimension-reduction subspace

    Journal of machine learning research, vol. 9, iss. None, pp. 1647-1678, 2008.

    By A. S. Dalalyan, A. Juditsky, and V. Spokoiny

    [Bibtex]

    @ARTICLE{Dalalyan2008ASubspace,
    author = {Arnak S. Dalalyan and Anatoly Juditsky and Vladimir Spokoiny},
    title = {{A new algorithm for estimating the effective dimension-reduction subspace}},
    journal = {Journal of Machine Learning Research},
    year = {2008},
    volume = {9},
    number = {None},
    pages = {1647-1678}}
  • A new algorithm for estimating the effective dimension-reduction subspace

    Journal of machine learning research, vol. 9, pp. 1647-1678, 2008.

    By A. S. Dalalyan, A. Juditsky, and V. Spokoiny

    [Bibtex]

    @ARTICLE{Dalalyan20081647,
    author={Dalalyan, A.S. and Juditsky, A. and Spokoiny, V.},
    title={A new algorithm for estimating the effective dimension-reduction subspace},
    journal={Journal of Machine Learning Research},
    year={2008},
    volume={9},
    pages={1647-1678},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50949115024&partnerID=40&md5=63289e980d16039cc652c9a493a75198},
    document_type={Article},
    source={Scopus},
    }
  • Aggregation by exponential weighting, sharp pac-bayesian bounds and sparsity

    Machine learning, vol. 72, iss. 1-2, pp. 39-61, 2008.

    By A. Dalalyan and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan200839,
    author={Dalalyan, A. and Tsybakov, A.B.},
    title={Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity},
    journal={Machine Learning},
    year={2008},
    volume={72},
    number={1-2},
    pages={39-61},
    doi={10.1007/s10994-008-5051-0},
    note={cited By 87},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350003059&doi=10.1007%2fs10994-008-5051-0&partnerID=40&md5=ba9105a1d855f79f8ef6e36206097ca8},
    document_type={Article},
    source={Scopus},
    }
  • Nonlinear censored regression using synthetic data

    Scandinavian journal of statistics, vol. 35, iss. 2, pp. 248-265, 2008.

    By M. Delecroix, O. Lopez, and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Delecroix2008248,
    author={Delecroix, M. and Lopez, O. and Patilea, V.},
    title={Nonlinear censored regression using synthetic data},
    journal={Scandinavian Journal of Statistics},
    year={2008},
    volume={35},
    number={2},
    pages={248-265},
    doi={10.1111/j.1467-9469.2007.00591.x},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-43749085078&doi=10.1111%2fj.1467-9469.2007.00591.x&partnerID=40&md5=b51f1024a1e7f7aefe1b1f35da0cdffe},
    document_type={Article},
    source={Scopus},
    }
  • A phase transition-based perspective on multiple instance kernels

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4894 LNAI, pp. 112-121, 2008.

    By R. Gaudel, M. Sebag, and A. Cornuejols

    [DOI] [Bibtex]

    @ARTICLE{Gaudel2008112,
    author={Gaudel, R. and Sebag, M. and Cornuejols, A.},
    title={A phase transition-based perspective on multiple instance kernels},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2008},
    volume={4894 LNAI},
    pages={112-121},
    doi={10.1007/978-3-540-78469-2_14},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-40249107594&doi=10.1007%2f978-3-540-78469-2_14&partnerID=40&md5=30ff90ec3229843d46653cd677e06256},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Change-point estimation from indirect observations. 1. minimax complexity

    Annales de l’institut henri poincare (b) probability and statistics, vol. 44, iss. 5, pp. 787-818, 2008.

    By A. Goldenshluger, A. Juditsky, A. B. Tsybakov, and A. Zeevi

    [DOI] [Bibtex]

    @ARTICLE{Goldenshluger2008787,
    author={Goldenshluger, A. and Juditsky, A. and Tsybakov, A.B. and Zeevi, A.},
    title={Change-point estimation from indirect observations. 1. Minimax complexity},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2008},
    volume={44},
    number={5},
    pages={787-818},
    doi={10.1214/07-AIHP110},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951843654&doi=10.1214%2f07-AIHP110&partnerID=40&md5=d1d4e25d585ba88c2cb5f9ec2fa9fdc8},
    document_type={Article},
    source={Scopus},
    }
  • Change-point estimation from indirect observations. 2. adaptation

    Annales de l’institut henri poincare (b) probability and statistics, vol. 44, iss. 5, pp. 819-836, 2008.

    By A. Goldenshluger, A. Juditsky, A. Tsybakov, and A. Zeevi

    [DOI] [Bibtex]

    @ARTICLE{Goldenshluger2008819,
    author={Goldenshluger, A. and Juditsky, A. and Tsybakov, A. and Zeevi, A.},
    title={Change-point estimation from indirect observations. 2. Adaptation},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2008},
    volume={44},
    number={5},
    pages={819-836},
    doi={10.1214/07-AIHP144},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951835117&doi=10.1214%2f07-AIHP144&partnerID=40&md5=5b35b8a789c9d14542b90e35907e5e74},
    document_type={Article},
    source={Scopus},
    }
  • Learning by mirror averaging

    Annals of statistics, vol. 36, iss. 5, pp. 2183-2206, 2008.

    By A. Juditsky, P. Rigollet, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Juditsky20082183,
    author={Juditsky, A. and Rigollet, P. and Tsybakov, A.B.},
    title={Learning by mirror averaging},
    journal={Annals of Statistics},
    year={2008},
    volume={36},
    number={5},
    pages={2183-2206},
    doi={10.1214/07-AOS546},
    note={cited By 61},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-54349121305&doi=10.1214%2f07-AOS546&partnerID=40&md5=25893181df32b1d67936ffe7cb4c5b16},
    document_type={Article},
    source={Scopus},
    }
  • Bootstrap confidence intervals in mixtures of discrete distributions

    Journal of statistical planning and inference, vol. 138, iss. 8, pp. 2313-2329, 2008.

    By D. Karlis and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Karlis20082313,
    author={Karlis, D. and Patilea, V.},
    title={Bootstrap confidence intervals in mixtures of discrete distributions},
    journal={Journal of Statistical Planning and Inference},
    year={2008},
    volume={138},
    number={8},
    pages={2313-2329},
    doi={10.1016/j.jspi.2007.10.026},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-42149187860&doi=10.1016%2fj.jspi.2007.10.026&partnerID=40&md5=1edf48d264070b3cb2125b3eececb46e},
    document_type={Article},
    source={Scopus},
    }
  • Breaking the curse of dimensionality in nonparametric testing

    Journal of econometrics, vol. 143, iss. 1, pp. 103-122, 2008.

    By P. Lavergne and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Lavergne2008103,
    author={Lavergne, P. and Patilea, V.},
    title={Breaking the curse of dimensionality in nonparametric testing},
    journal={Journal of Econometrics},
    year={2008},
    volume={143},
    number={1},
    pages={103-122},
    doi={10.1016/j.jeconom.2007.08.014},
    note={cited By 33},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38149019298&doi=10.1016%2fj.jeconom.2007.08.014&partnerID=40&md5=8d2a04a6b599442626f4b96cfdc4cda1},
    document_type={Article},
    source={Scopus},
    }

2007

  • Fast learning rates for plug-in classifiers

    Annals of statistics, vol. 35, iss. 2, pp. 608-633, 2007.

    By J. -Y. Audibert and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Audibert2007608,
    author={Audibert, J.-Y. and Tsybakov, A.B.},
    title={Fast learning rates for plug-in classifiers},
    journal={Annals of Statistics},
    year={2007},
    volume={35},
    number={2},
    pages={608-633},
    doi={10.1214/009053606000001217},
    note={cited By 136},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547706430&doi=10.1214%2f009053606000001217&partnerID=40&md5=5f90d03542d3b6a3261e076b11fb4a2a},
    document_type={Article},
    source={Scopus},
    }
  • Sparsity oracle inequalities for the lasso

    Electronic journal of statistics, vol. 1, pp. 169-194, 2007.

    By F. Bunea, A. Tsybakov, and M. Wegkamp

    [DOI] [Bibtex]

    @ARTICLE{Bunea2007169,
    author={Bunea, F. and Tsybakov, A. and Wegkamp, M.},
    title={Sparsity oracle inequalities for the Lasso},
    journal={Electronic Journal of Statistics},
    year={2007},
    volume={1},
    pages={169-194},
    doi={10.1214/07-EJS008},
    note={cited By 210},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50849114939&doi=10.1214%2f07-EJS008&partnerID=40&md5=d0bdfc1f465c87700286524055d37dd6},
    document_type={Article},
    source={Scopus},
    }
  • Sparse density estimation with ℓ1 penalties

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 530-543, 2007.

    By F. Bunea, A. B. Tsybakov, and M. H. Wegkamp

    [DOI] [Bibtex]

    @ARTICLE{Bunea2007530,
    author={Bunea, F. and Tsybakov, A.B. and Wegkamp, M.H.},
    title={Sparse density estimation with ℓ1 penalties},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2007},
    volume={4539 LNAI},
    pages={530-543},
    doi={10.1007/978-3-540-72927-3_38},
    note={cited By 24},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049008576&doi=10.1007%2f978-3-540-72927-3_38&partnerID=40&md5=a473a52e6bce7f58dbbebcb99f2c134a},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Goodness-of-fit testing and quadratic functional estimation from indirect observations

    Annals of statistics, vol. 35, iss. 5, pp. 1907-1930, 2007.

    By C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Butucea20071907,
    author={Butucea, C.},
    title={Goodness-of-fit testing and quadratic functional estimation from indirect observations},
    journal={Annals of Statistics},
    year={2007},
    volume={35},
    number={5},
    pages={1907-1930},
    doi={10.1214/009053607000000118},
    note={cited By 31},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-41449118443&doi=10.1214%2f009053607000000118&partnerID=40&md5=6242433f8609017fa7be414a6f11f3f2},
    document_type={Article},
    source={Scopus},
    }
  • Minimax and adaptive estimation of the wigner function in quantum homodyne tomography with noisy data

    Annals of statistics, vol. 35, iss. 2, pp. 465-494, 2007.

    By C. Butucea, M. Guţǎ, and L. Artiles

    [DOI] [Bibtex]

    @ARTICLE{Butucea2007465,
    author={Butucea, C. and Guţǎ, M. and Artiles, L.},
    title={Minimax and adaptive estimation of the wigner function in quantum homodyne tomography with noisy data},
    journal={Annals of Statistics},
    year={2007},
    volume={35},
    number={2},
    pages={465-494},
    doi={10.1214/009053606000001488},
    note={cited By 30},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38849107677&doi=10.1214%2f009053606000001488&partnerID=40&md5=88fc68dd53d325d8b2ca676988cd43d4},
    document_type={Article},
    source={Scopus},
    }
  • Functional approach for excess mass estimation in the density model

    Electronic journal of statistics, vol. 1, pp. 449-472, 2007.

    By C. Butucea, M. Mougeot, and K. Tribouley

    [DOI] [Bibtex]

    @ARTICLE{Butucea2007449,
    author={Butucea, C. and Mougeot, M. and Tribouley, K.},
    title={Functional approach for excess mass estimation in the density model},
    journal={Electronic Journal of Statistics},
    year={2007},
    volume={1},
    pages={449-472},
    doi={10.1214/07-EJS079},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035257616&doi=10.1214%2f07-EJS079&partnerID=40&md5=53f3a688e4d44185d2c15a736183814d},
    document_type={Article},
    source={Scopus},
    }
  • Advances in mixture models

    Computational statistics and data analysis, vol. 51, iss. 11, pp. 5205-5210, 2007.

    By D. Böhning, W. Seidel, M. Alfó, B. Garel, V. Patilea, and G. Walther

    [DOI] [Bibtex]

    @EDITORIAL{Böhning20075205,
    author={Böhning, D. and Seidel, W. and Alfó, M. and Garel, B. and Patilea, V. and Walther, G.},
    title={Advances in Mixture Models},
    journal={Computational Statistics and Data Analysis},
    year={2007},
    volume={51},
    number={11},
    pages={5205-5210},
    doi={10.1016/j.csda.2006.10.025},
    note={cited By 30},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34248221457&doi=10.1016%2fj.csda.2006.10.025&partnerID=40&md5=a9790c81d11295fc8b420a27e7a5b6af},
    document_type={Editorial},
    source={Scopus},
    }
  • Dynamic detection of change points in long time series

    Annals of the institute of statistical mathematics, vol. 59, iss. 2, pp. 349-366, 2007.

    By N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Chopin2007349,
    author={Chopin, N.},
    title={Dynamic detection of change points in long time series},
    journal={Annals of the Institute of Statistical Mathematics},
    year={2007},
    volume={59},
    number={2},
    pages={349-366},
    doi={10.1007/s10463-006-0053-9},
    note={cited By 35},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847358600&doi=10.1007%2fs10463-006-0053-9&partnerID=40&md5=4a7551c9f49912dd157cf19309912730},
    document_type={Article},
    source={Scopus},
    }
  • Inference and model choice for sequentially ordered hidden markov models

    Journal of the royal statistical society. series b: statistical methodology, vol. 69, iss. 2, pp. 269-284, 2007.

    By N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Chopin2007269,
    author={Chopin, N.},
    title={Inference and model choice for sequentially ordered hidden Markov models},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2007},
    volume={69},
    number={2},
    pages={269-284},
    doi={10.1111/j.1467-9868.2007.00588.x},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847367249&doi=10.1111%2fj.1467-9868.2007.00588.x&partnerID=40&md5=17ccbb72314e28f259dde9236494c3e0},
    document_type={Article},
    source={Scopus},
    }
  • Stein shrinkage and second-order efficiency for semiparametric estimation of the shift

    Mathematical methods of statistics, vol. 16, iss. 1, pp. 42-62, 2007.

    By A. S. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan200742,
    author={Dalalyan, A.S.},
    title={Stein shrinkage and second-order efficiency for semiparametric estimation of the shift},
    journal={Mathematical Methods of Statistics},
    year={2007},
    volume={16},
    number={1},
    pages={42-62},
    doi={10.3103/S1066530707010048},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47249146246&doi=10.3103%2fS1066530707010048&partnerID=40&md5=840b41be5c496bdf7b59be59d2d6c337},
    document_type={Article},
    source={Scopus},
    }
  • Aggregation by exponential weighting and sharp oracle inequalities

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 97-111, 2007.

    By A. S. Dalalyan and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan200797,
    author={Dalalyan, A.S. and Tsybakov, A.B.},
    title={Aggregation by exponential weighting and sharp oracle inequalities},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2007},
    volume={4539 LNAI},
    pages={97-111},
    doi={10.1007/978-3-540-72927-3_9},
    note={cited By 57},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049046503&doi=10.1007%2f978-3-540-72927-3_9&partnerID=40&md5=e66c7086015356b4b2ea9c225c35d7cb},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case

    Probability theory and related fields, vol. 137, iss. 1-2, pp. 25-47, 2007.

    By A. Dalalyan and M. Reiß

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan200725,
    author={Dalalyan, A. and Reiß, M.},
    title={Asymptotic statistical equivalence for ergodic diffusions: The multidimensional case},
    journal={Probability Theory and Related Fields},
    year={2007},
    volume={137},
    number={1-2},
    pages={25-47},
    doi={10.1007/s00440-006-0502-7},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33846867045&doi=10.1007%2fs00440-006-0502-7&partnerID=40&md5=747fabf7ebfa67a71858906e393a8b2e},
    document_type={Review},
    source={Scopus},
    }
  • Optimal rates and adaptation in the single-index model using aggregation

    Electronic journal of statistics, vol. 1, pp. 538-573, 2007.

    By S. Gaiffas and G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Gaiffas2007538,
    author={Gaiffas, S. and Lecue, G.},
    title={Optimal rates and adaptation in the single-index model using aggregation},
    journal={Electronic Journal of Statistics},
    year={2007},
    volume={1},
    pages={538-573},
    doi={10.1214/07-EJS077},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350021658&doi=10.1214%2f07-EJS077&partnerID=40&md5=95a8df2760e408975d6a6b57171f6394},
    document_type={Article},
    source={Scopus},
    }
  • Confidence intervals of the hazard rate function for discrete distributions using mixtures

    Computational statistics and data analysis, vol. 51, iss. 11, pp. 5388-5401, 2007.

    By D. Karlis and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Karlis20075388,
    author={Karlis, D. and Patilea, V.},
    title={Confidence intervals of the hazard rate function for discrete distributions using mixtures},
    journal={Computational Statistics and Data Analysis},
    year={2007},
    volume={51},
    number={11},
    pages={5388-5401},
    doi={10.1016/j.csda.2006.07.037},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34247850823&doi=10.1016%2fj.csda.2006.07.037&partnerID=40&md5=a792caab42e6b057a8ebee70913d7a06},
    document_type={Article},
    source={Scopus},
    }
  • Optimal rates of aggregation in classification under low noise assumption

    Bernoulli, vol. 13, iss. 4, pp. 1000-1022, 2007.

    By G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Lecue20071000,
    author={Lecue, G.},
    title={Optimal rates of aggregation in classification under low noise assumption},
    journal={Bernoulli},
    year={2007},
    volume={13},
    number={4},
    pages={1000-1022},
    doi={10.3150/07-BEJ6044},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47249139879&doi=10.3150%2f07-BEJ6044&partnerID=40&md5=a837832d284c4d989d2a4fcb03cad4a4},
    document_type={Article},
    source={Scopus},
    }
  • Simultaneous adaptation to the margin and to complexity in classification

    Annals of statistics, vol. 35, iss. 4, pp. 1698-1721, 2007.

    By G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Lecue20071698,
    author={Lecue, G.},
    title={Simultaneous adaptation to the margin and to complexity in classification},
    journal={Annals of Statistics},
    year={2007},
    volume={35},
    number={4},
    pages={1698-1721},
    doi={10.1214/009053607000000055},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-48849097549&doi=10.1214%2f009053607000000055&partnerID=40&md5=5d8b6171be86fd2fbaa844e25e5cf948},
    document_type={Article},
    source={Scopus},
    }
  • Suboptimality of penalized empirical risk minimization in classification

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 142-156, 2007.

    By G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Lecue2007142,
    author={Lecue, G.},
    title={Suboptimality of penalized empirical risk minimization in classification},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2007},
    volume={4539 LNAI},
    pages={142-156},
    doi={10.1007/978-3-540-72927-3_12},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049026180&doi=10.1007%2f978-3-540-72927-3_12&partnerID=40&md5=7fd781d9856ac5febcc9a11a92da9a4b},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Semiparametric regression models with applications to scoring: a review

    Communications in statistics – theory and methods, vol. 36, iss. 14, pp. 2641-2653, 2007.

    By V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Patilea20072641,
    author={Patilea, V.},
    title={Semiparametric regression models with applications to scoring: A review},
    journal={Communications in Statistics - Theory and Methods},
    year={2007},
    volume={36},
    number={14},
    pages={2641-2653},
    doi={10.1080/03610920701271186},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-35348904535&doi=10.1080%2f03610920701271186&partnerID=40&md5=d68e3d36f0c8b903af1b0f31875577a7},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Discussion of ‘modern statistics for spatial point processes’

    Scandinavian journal of statistics, vol. 34, iss. 4, pp. 685-711, 2007.

    By A. Penttinen, M. Prokesov̀a, G. Hellmund, A. Baddeley, J. -M. Billiot, N. Cressie, P. Grabarnik, A. S̈arkk̈a, Y. Guan, P. Guttorp, O. Ḧaggstr̈om, U. Hahn, L. Heinrich, W. S. Kendall, A. Lawson, J. Mateu, H. Rue, S. Martino, N. Chopin, F. P. Schoenberg, D. Stoyan, J. Møller, and R. P. Waagepetersen

    [DOI] [Bibtex]

    @ARTICLE{Penttinen2007685,
    author={Penttinen, A. and Prokesov̀a, M. and Hellmund, G. and Baddeley, A. and Billiot, J.-M. and Cressie, N. and Grabarnik, P. and S̈arkk̈a, A. and Guan, Y. and Guttorp, P. and Ḧaggstr̈om, O. and Hahn, U. and Heinrich, L. and Kendall, W.S. and Lawson, A. and Mateu, J. and Rue, H. and Martino, S. and Chopin, N. and Schoenberg, F.P. and Stoyan, D. and Møller, J. and Waagepetersen, R.P.},
    title={Discussion of 'modern statistics for spatial point processes'},
    journal={Scandinavian Journal of Statistics},
    year={2007},
    volume={34},
    number={4},
    pages={685-711},
    doi={10.1111/j.1467-9469.2007.00571.x},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-36749030084&doi=10.1111%2fj.1467-9469.2007.00571.x&partnerID=40&md5=61b89b45f299708179875e492f93c4a0},
    document_type={Article},
    source={Scopus},
    }
  • Linear and convex aggregation of density estimators

    Mathematical methods of statistics, vol. 16, iss. 3, pp. 260-280, 2007.

    By P. Rigollet and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Rigollet2007260,
    author={Rigollet, P. and Tsybakov, A.B.},
    title={Linear and convex aggregation of density estimators},
    journal={Mathematical Methods of Statistics},
    year={2007},
    volume={16},
    number={3},
    pages={260-280},
    doi={10.3103/S1066530707030052},
    note={cited By 46},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955137685&doi=10.3103%2fS1066530707030052&partnerID=40&md5=c7eacac920b121ece0322de050703541},
    document_type={Article},
    source={Scopus},
    }

2006

  • Discussion: local rademacher complexities and oracle inequalities in risk minimization

    Annals of statistics, vol. 34, iss. 6, pp. 2657-2706, 2006.

    By P. L. Bartlett, S. Mendelson, G. Blanchard, P. Massart, S. Clemençon, G. Lugosi, N. Vayatis, S. Xiaotong, W. Lifeng, A. B. Tsybakov, S. Van De Geer, and V. Koltchinskii

    [DOI] [Bibtex]

    @ARTICLE{Bartlett20062657,
    author={Bartlett, P.L. and Mendelson, S. and Blanchard, G. and Massart, P. and Clemençon, S. and Lugosi, G. and Vayatis, N. and Xiaotong, S. and Lifeng, W. and Tsybakov, A.B. and Van De Geer, S. and Koltchinskii, V.},
    title={Discussion: Local rademacher complexities and oracle inequalities in risk minimization},
    journal={Annals of Statistics},
    year={2006},
    volume={34},
    number={6},
    pages={2657-2706},
    doi={10.1214/009083606000001028},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547313726&doi=10.1214%2f009083606000001028&partnerID=40&md5=aff880828789b38b18e6c8978b057910},
    document_type={Note},
    source={Scopus},
    }
  • Aggregation and sparsity via ℓ1 penalized least squares

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4005 LNAI, pp. 379-391, 2006.

    By F. Bunea, A. B. Tsybakov, and M. H. Wegkamp

    [DOI] [Bibtex]

    @ARTICLE{Bunea2006379,
    author={Bunea, F. and Tsybakov, A.B. and Wegkamp, M.H.},
    title={Aggregation and sparsity via ℓ1 penalized least squares},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2006},
    volume={4005 LNAI},
    pages={379-391},
    doi={10.1007/11776420_29},
    note={cited By 38},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746056860&doi=10.1007%2f11776420_29&partnerID=40&md5=e16dad384d709ad079302d3a113dacaa},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Nonparametric homogeneity tests

    Journal of statistical planning and inference, vol. 136, iss. 3, pp. 597-639, 2006.

    By C. Butucea and K. Tribouley

    [DOI] [Bibtex]

    @ARTICLE{Butucea2006597,
    author={Butucea, C. and Tribouley, K.},
    title={Nonparametric homogeneity tests},
    journal={Journal of Statistical Planning and Inference},
    year={2006},
    volume={136},
    number={3},
    pages={597-639},
    doi={10.1016/j.jspi.2004.08.003},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28044466895&doi=10.1016%2fj.jspi.2004.08.003&partnerID=40&md5=3395f17bf6a99a283db4a116561e257b},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotic statistical equivalence for scalar ergodic diffusions

    Probability theory and related fields, vol. 134, iss. 2, pp. 248-282, 2006.

    By A. Dalalyan and M. Reiß

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan2006248,
    author={Dalalyan, A. and Reiß, M.},
    title={Asymptotic statistical equivalence for scalar ergodic diffusions},
    journal={Probability Theory and Related Fields},
    year={2006},
    volume={134},
    number={2},
    pages={248-282},
    doi={10.1007/s00440-004-0416-1},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28644440536&doi=10.1007%2fs00440-004-0416-1&partnerID=40&md5=be072a1aafad1c97b056f147a8029052},
    document_type={Article},
    source={Scopus},
    }
  • Penalized maximum likelihood and semiparametric second-order efficiency

    Annals of statistics, vol. 34, iss. 1, pp. 169-201, 2006.

    By A. S. Dalalyan, G. K. Golubev, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan2006169,
    author={Dalalyan, A.S. and Golubev, G.K. and Tsybakov, A.B.},
    title={Penalized maximum likelihood and semiparametric second-order efficiency},
    journal={Annals of Statistics},
    year={2006},
    volume={34},
    number={1},
    pages={169-201},
    doi={10.1214/009053605000000895},
    note={cited By 27},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744800008&doi=10.1214%2f009053605000000895&partnerID=40&md5=eb3e1e2fe01788274be43ada48822547},
    document_type={Article},
    source={Scopus},
    }
  • On semiparametric m-estimation in single-index regression

    Journal of statistical planning and inference, vol. 136, iss. 3, pp. 730-769, 2006.

    By M. Delecroix, M. Hristache, and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Delecroix2006730,
    author={Delecroix, M. and Hristache, M. and Patilea, V.},
    title={On semiparametric M-estimation in single-index regression},
    journal={Journal of Statistical Planning and Inference},
    year={2006},
    volume={136},
    number={3},
    pages={730-769},
    doi={10.1016/j.jspi.2004.09.006},
    note={cited By 61},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28044442060&doi=10.1016%2fj.jspi.2004.09.006&partnerID=40&md5=f335e83e29f3d178cfc201a6805f411c},
    document_type={Article},
    source={Scopus},
    }
  • Optimal change-point estimation from indirect observations

    Annals of statistics, vol. 34, iss. 1, pp. 350-372, 2006.

    By A. Goldenshluger, A. Tsybakov, and A. Zeevi

    [DOI] [Bibtex]

    @ARTICLE{Goldenshluger2006350,
    author={Goldenshluger, A. and Tsybakov, A. and Zeevi, A.},
    title={Optimal change-point estimation from indirect observations},
    journal={Annals of Statistics},
    year={2006},
    volume={34},
    number={1},
    pages={350-372},
    doi={10.1214/009053605000000750},
    note={cited By 31},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744820824&doi=10.1214%2f009053605000000750&partnerID=40&md5=2b772b50b82b69ae558c80140470d3b9},
    document_type={Article},
    source={Scopus},
    }
  • Stochastic unit root models

    Econometric theory, vol. 22, iss. 6, pp. 1052-1090, 2006.

    By C. Gourieroux and C. Y. Robert

    [DOI] [Bibtex]

    @ARTICLE{Gourieroux20061052,
    author={Gourieroux, C. and Robert, C.Y.},
    title={Stochastic unit root models},
    journal={Econometric Theory},
    year={2006},
    volume={22},
    number={6},
    pages={1052-1090},
    doi={10.1017/S0266466606060518},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845738227&doi=10.1017%2fS0266466606060518&partnerID=40&md5=e0e294b1918f69f61ebd96209f04e93b},
    document_type={Article},
    source={Scopus},
    }
  • Remark on “recursive aggregation of estimators by the mirror descent algorithm with averaging” published in probl. peredachi inf., 2005, no. 4

    Problems of information transmission, vol. 42, iss. 3, p. 262, 2006.

    By A. B. Juditsky, A. V. Nazin, A. B. Tsybakov, and N. Vayatis

    [DOI] [Bibtex]

    @ARTICLE{Juditsky2006262,
    author={Juditsky, A.B. and Nazin, A.V. and Tsybakov, A.B. and Vayatis, N.},
    title={Remark on "Recursive aggregation of estimators by the mirror descent algorithm with averaging" published in Probl. Peredachi Inf., 2005, no. 4},
    journal={Problems of Information Transmission},
    year={2006},
    volume={42},
    number={3},
    pages={262},
    doi={10.1134/S0032946006030094},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33750211223&doi=10.1134%2fS0032946006030094&partnerID=40&md5=93378eaa2bb3f93b9e91ef180014dc6d},
    document_type={Letter},
    source={Scopus},
    }
  • Lower bounds and aggregation in density estimation

    Journal of machine learning research, vol. 7, iss. None, pp. 971-981, 2006.

    By G. Lecue

    [Bibtex]

    @ARTICLE{Lecue2006LowerEstimation,
    author = {Guillaume Lecue},
    title = {{Lower bounds and aggregation in density estimation}},
    journal = {Journal of Machine Learning Research},
    year = {2006},
    volume = {7},
    number = {None},
    pages = {971-981}}
  • Lower bounds and aggregation in density estimation

    Journal of machine learning research, vol. 7, pp. 971-981, 2006.

    By G. Lecue

    [Bibtex]

    @ARTICLE{Lecue2006971,
    author={Lecue, G.},
    title={Lower bounds and aggregation in density estimation},
    journal={Journal of Machine Learning Research},
    year={2006},
    volume={7},
    pages={971-981},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745116932&partnerID=40&md5=4689d0ec3b19889f36f02156d0cf23c5},
    document_type={Article},
    source={Scopus},
    }
  • Optimal oracle inequality for aggregation of classifiers under low noise condition

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4005 LNAI, pp. 364-378, 2006.

    By G. Lecue

    [DOI] [Bibtex]

    @ARTICLE{Lecue2006364,
    author={Lecue, G.},
    title={Optimal oracle inequality for aggregation of classifiers under low noise condition},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2006},
    volume={4005 LNAI},
    pages={364-378},
    doi={10.1007/11776420_28},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746090509&doi=10.1007%2f11776420_28&partnerID=40&md5=2394942cdb9bdfcbfe15b2e31900f9e0},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Product-limit estimators of the survival function with twice censored data

    Annals of statistics, vol. 34, iss. 2, pp. 925-938, 2006.

    By V. Patilea and J. -M. Rolin

    [DOI] [Bibtex]

    @ARTICLE{Patilea2006925,
    author={Patilea, V. and Rolin, J.-M.},
    title={Product-limit estimators of the survival function with twice censored data},
    journal={Annals of Statistics},
    year={2006},
    volume={34},
    number={2},
    pages={925-938},
    doi={10.1214/009053606000000065},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746242081&doi=10.1214%2f009053606000000065&partnerID=40&md5=741ef3ab8bce91def1e1fc0a747f9d24},
    document_type={Article},
    source={Scopus},
    }
  • Product-limit estimators of the survival function for two modified forms of currentstatus data

    Bernoulli, vol. 12, iss. 5, pp. 801-819, 2006.

    By V. Patilea and J. -M. Rolin

    [DOI] [Bibtex]

    @ARTICLE{Patilea2006801,
    author={Patilea, V. and Rolin, J.-M.},
    title={Product-limit estimators of the survival function for two modified forms of currentstatus data},
    journal={Bernoulli},
    year={2006},
    volume={12},
    number={5},
    pages={801-819},
    doi={10.3150/bj/1161614947},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-71249111048&doi=10.3150%2fbj%2f1161614947&partnerID=40&md5=f0620af21bb527c9f015e0e9737bcc36},
    document_type={Article},
    source={Scopus},
    }
  • Regularization in statistics: Discussion

    Test, vol. 15, iss. 2, pp. 303-344, 2006.

    By A. B. Tsybakov, S. V. D. A. Geer, B. Yu, T. Valdes, C. Rivero, J. Fan, A. V. D. Vaart, P. J. Bickel, and B. Li

    [Bibtex]

    @ARTICLE{Tsybakov2006RegularizationDiscussion,
    author = {Alexandre B. Tsybakov and Sara A. Van De Geer and Bin Yu and Teófilo Valdes and Carlos Rivero and Jianqing Fan and Aad Van Der Vaart and Peter J. Bickel and Bo Li},
    title = {{Regularization in statistics: Discussion}},
    journal = {Test},
    year = {2006},
    volume = {15},
    number = {2},
    pages = {303-344}}
  • Regularization in statistics: discussion

    Test, vol. 15, iss. 2, pp. 303-344, 2006.

    By A. B. Tsybakov, S. A. Van De Geer, B. Yu, T. Valdes, C. Rivero, J. Fan, A. Van Der Vaart, P. J. Bickel, and B. Li

    [Bibtex]

    @ARTICLE{Tsybakov2006303,
    author={Tsybakov, A.B. and Van De Geer, S.A. and Yu, B. and Valdes, T. and Rivero, C. and Fan, J. and Van Der Vaart, A. and Bickel, P.J. and Li, B.},
    title={Regularization in statistics: Discussion},
    journal={Test},
    year={2006},
    volume={15},
    number={2},
    pages={303-344},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845674505&partnerID=40&md5=1d1f57d081e8894c7fe4cd8e433fdc75},
    document_type={Note},
    source={Scopus},
    }

2005

  • Exact asymptotics for estimating the marginal density of discretely observed diffusion processes

    Bernoulli, vol. 11, iss. 3, pp. 411-444, 2005.

    By C. Butucea and M. H. Neumann

    [DOI] [Bibtex]

    @ARTICLE{Butucea2005411,
    author={Butucea, C. and Neumann, M.H.},
    title={Exact asymptotics for estimating the marginal density of discretely observed diffusion processes},
    journal={Bernoulli},
    year={2005},
    volume={11},
    number={3},
    pages={411-444},
    doi={10.3150/bj/1120591183},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845771345&doi=10.3150%2fbj%2f1120591183&partnerID=40&md5=bd360a34307aec473e8a3cb5d67be488},
    document_type={Article},
    source={Scopus},
    }
  • Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model

    Bernoulli, vol. 11, iss. 2, pp. 309-340, 2005.

    By C. Butucea and C. Matias

    [DOI] [Bibtex]

    @ARTICLE{Butucea2005309,
    author={Butucea, C. and Matias, C.},
    title={Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model},
    journal={Bernoulli},
    year={2005},
    volume={11},
    number={2},
    pages={309-340},
    doi={10.3150/bj/1116340297},
    note={cited By 40},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33751159778&doi=10.3150%2fbj%2f1116340297&partnerID=40&md5=95d9e77364b313fe66d9f07845ee3565},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotic normality in mixtures of power series distributions

    Scandinavian journal of statistics, vol. 32, iss. 1, pp. 115-131, 2005.

    By D. Böhning and V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Böhning2005115,
    author={Böhning, D. and Patilea, V.},
    title={Asymptotic normality in mixtures of power series distributions},
    journal={Scandinavian Journal of Statistics},
    year={2005},
    volume={32},
    number={1},
    pages={115-131},
    doi={10.1111/j.1467-9469.2005.00418.x},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-14644415437&doi=10.1111%2fj.1467-9469.2005.00418.x&partnerID=40&md5=3691736c7047a5583a7f9830d3943a65},
    document_type={Article},
    source={Scopus},
    }
  • Semigroup kernels on measures

    Journal of machine learning research, vol. 6, iss. None, p. -, 2005.

    By M. Cuturi, K. Fukumizu, and J. P. Vert

    [Bibtex]

    @ARTICLE{Cuturi2005SemigroupMeasures,
    author = {Marco Cuturi and Kenji Fukumizu and Jean Philippe Vert},
    title = {{Semigroup kernels on measures}},
    journal = {Journal of Machine Learning Research},
    year = {2005},
    volume = {6},
    number = {None},
    pages = {-}}
  • The context-tree kernel for strings

    Neural networks, vol. 18, iss. 8, pp. 1111-1123, 2005.

    By M. Cuturi and J. -P. Vert

    [DOI] [Bibtex]

    @ARTICLE{Cuturi20051111,
    author={Cuturi, M. and Vert, J.-P.},
    title={The context-tree kernel for strings},
    journal={Neural Networks},
    year={2005},
    volume={18},
    number={8},
    pages={1111-1123},
    doi={10.1016/j.neunet.2005.07.010},
    note={cited By 26},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-23244459989&doi=10.1016%2fj.neunet.2005.07.010&partnerID=40&md5=fed1db3bb32830c58b0f87a3bfb01f86},
    document_type={Article},
    source={Scopus},
    }
  • Semigroup kernels on measures

    Journal of machine learning research, vol. 6, 2005.

    By M. Cuturi, K. Fukumizu, and J. -P. Vert

    [Bibtex]

    @ARTICLE{Cuturi2005,
    author={Cuturi, M. and Fukumizu, K. and Vert, J.-P.},
    title={Semigroup kernels on measures},
    journal={Journal of Machine Learning Research},
    year={2005},
    volume={6},
    page_count={30},
    note={cited By 41},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-23244459499&partnerID=40&md5=2dcb3d85e1d56d53d43fd873b14dd49b},
    document_type={Article},
    source={Scopus},
    }
  • Sharp adaptive estimation of the drift function for ergodic diffusions

    Annals of statistics, vol. 33, iss. 6, pp. 2507-2528, 2005.

    By A. Dalalyan

    [DOI] [Bibtex]

    @ARTICLE{Dalalyan20052507,
    author={Dalalyan, A.},
    title={Sharp adaptive estimation of the drift function for ergodic diffusions},
    journal={Annals of Statistics},
    year={2005},
    volume={33},
    number={6},
    pages={2507-2528},
    doi={10.1214/009053605000000615},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33644900974&doi=10.1214%2f009053605000000615&partnerID=40&md5=3abf9e131934da96ac9d278789e550cb},
    document_type={Article},
    source={Scopus},
    }
  • Recursive aggregation of estimators by the mirror descent algorithm with averaging

    Problems of information transmission, vol. 41, iss. 4, pp. 368-384, 2005.

    By A. B. Juditsky, A. V. Nazin, A. B. Tsybakov, and N. Vayatis

    [DOI] [Bibtex]

    @ARTICLE{Juditsky2005368,
    author={Juditsky, A.B. and Nazin, A.V. and Tsybakov, A.B. and Vayatis, N.},
    title={Recursive aggregation of estimators by the mirror descent algorithm with averaging},
    journal={Problems of Information Transmission},
    year={2005},
    volume={41},
    number={4},
    pages={368-384},
    doi={10.1007/s11122-006-0005-2},
    note={cited By 46},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-31344435933&doi=10.1007%2fs11122-006-0005-2&partnerID=40&md5=1ac48541406bd43b9dd7e00dea8a46a5},
    document_type={Article},
    source={Scopus},
    }
  • Square root penalty: adaptation to the margin in classification and in edge estimation

    Annals of statistics, vol. 33, iss. 3, pp. 1203-1224, 2005.

    By A. B. Tsybakov and S. A. D. E. Van Geer

    [DOI] [Bibtex]

    @ARTICLE{Tsybakov20051203,
    author={Tsybakov, A.B. and Van Geer, S.A.D.E.},
    title={Square root penalty: Adaptation to the margin in classification and in edge estimation},
    journal={Annals of Statistics},
    year={2005},
    volume={33},
    number={3},
    pages={1203-1224},
    doi={10.1214/009053604000001066},
    note={cited By 31},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-23744505130&doi=10.1214%2f009053604000001066&partnerID=40&md5=a3b1cc91f3a4bbe73f5682c5e6be100e},
    document_type={Article},
    source={Scopus},
    }

2004

  • Asymptotic normality of the integrated square error of a density estimator in the convolution model

    Sort, vol. 28, iss. 1, pp. 9-25, 2004.

    By C. Butucea

    [Bibtex]

    @ARTICLE{Butucea2004AsymptoticModel,
    author = {C. Butucea},
    title = {{Asymptotic normality of the integrated square error of a density estimator in the convolution model}},
    journal = {SORT},
    year = {2004},
    volume = {28},
    number = {1},
    pages = {9-25}}
  • Deconvolution of supersmooth densities with smooth noise

    Canadian journal of statistics, vol. 32, iss. 2, pp. 181-192, 2004.

    By C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Butucea2004181,
    author={Butucea, C.},
    title={Deconvolution of supersmooth densities with smooth noise},
    journal={Canadian Journal of Statistics},
    year={2004},
    volume={32},
    number={2},
    pages={181-192},
    doi={10.2307/3315941},
    note={cited By 36},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3142782035&doi=10.2307%2f3315941&partnerID=40&md5=73f60fec4106f917bb0fa7d275f792a1},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotic normality of the integrated square error of a density estimator in the convolution model

    Sort, vol. 28, iss. 1, pp. 9-25, 2004.

    By C. Butucea

    [Bibtex]

    @ARTICLE{Butucea20049,
    author={Butucea, C.},
    title={Asymptotic normality of the integrated square error of a density estimator in the convolution model},
    journal={SORT},
    year={2004},
    volume={28},
    number={1},
    pages={9-25},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3142667676&partnerID=40&md5=43213c6ab4cb9bb85c9abbabee622d73},
    document_type={Article},
    source={Scopus},
    }
  • Block thresholding and sharp adaptive estimation in severely ill-posed inverse problems

    Theory of probability and its applications, vol. 48, iss. 3, pp. 426-446, 2004.

    By L. Cavalier, Y. Gulobev, O. Lepski, and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Cavalier2004426,
    author={Cavalier, L. and Gulobev, Y. and Lepski, O. and Tsybakov, A.},
    title={Block thresholding and sharp adaptive estimation in severely ill-posed inverse problems},
    journal={Theory of Probability and its Applications},
    year={2004},
    volume={48},
    number={3},
    pages={426-446},
    doi={10.1137/S0040585X97980555},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-7544237614&doi=10.1137%2fS0040585X97980555&partnerID=40&md5=8626ff0b668ff2393cb40950edfe5b67},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Central limit theorem for sequential monte carlo methods and its application to bayesian inference

    Annals of statistics, vol. 32, iss. 6, pp. 2385-2411, 2004.

    By N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Chopin20042385,
    author={Chopin, N.},
    title={Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference},
    journal={Annals of Statistics},
    year={2004},
    volume={32},
    number={6},
    pages={2385-2411},
    doi={10.1214/009053604000000698},
    note={cited By 193},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-21644457738&doi=10.1214%2f009053604000000698&partnerID=40&md5=ac3617ec2307eacf7dcd8e30eec2a52b},
    document_type={Article},
    source={Scopus},
    }
  • Bayesian inference and state number determination for hidden markov models: an application to the information content of the yield curve about inflation

    Journal of econometrics, vol. 123, iss. 2, pp. 327-344, 2004.

    By N. Chopin and F. Pelgrin

    [DOI] [Bibtex]

    @ARTICLE{Chopin2004327,
    author={Chopin, N. and Pelgrin, F.},
    title={Bayesian inference and state number determination for hidden Markov models: An application to the information content of the yield curve about inflation},
    journal={Journal of Econometrics},
    year={2004},
    volume={123},
    number={2},
    pages={327-344},
    doi={10.1016/j.jeconom.2003.12.010},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-4644268492&doi=10.1016%2fj.jeconom.2003.12.010&partnerID=40&md5=2ffe2e30db9b674c3eff973bd9a981da},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Estimating the endpoint of a distribution in the presence of additive observation errors

    Statistics and probability letters, vol. 68, iss. 1, pp. 39-49, 2004.

    By A. Goldenshluger and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Goldenshluger200439,
    author={Goldenshluger, A. and Tsybakov, A.},
    title={Estimating the endpoint of a distribution in the presence of additive observation errors},
    journal={Statistics and Probability Letters},
    year={2004},
    volume={68},
    number={1},
    pages={39-49},
    doi={10.1016/j.spl.2004.01.013},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-2342603497&doi=10.1016%2fj.spl.2004.01.013&partnerID=40&md5=61f56668f71920d879fed41b833eed20},
    document_type={Article},
    source={Scopus},
    }
  • Exact constants for pointwise adaptive estimation under the riesz transform

    Probability theory and related fields, vol. 129, iss. 3, pp. 441-467, 2004.

    By J. Klemela and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Klemela2004441,
    author={Klemela, J. and Tsybakov, A.B.},
    title={Exact constants for pointwise adaptive estimation under the Riesz transform},
    journal={Probability Theory and Related Fields},
    year={2004},
    volume={129},
    number={3},
    pages={441-467},
    doi={10.1007/s00440-004-0348-9},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3042813988&doi=10.1007%2fs00440-004-0348-9&partnerID=40&md5=c89bec6b905a0fbd7ea655c03f2cfd49},
    document_type={Article},
    source={Scopus},
    }
  • Erratum: smooth discrimination analysis (the annals of statistics (1999) 27 (1808-1829))

    Annals of statistics, vol. 32, iss. 5, pp. 2340-2341, 2004.

    By E. Mammen and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Mammen20042340,
    author={Mammen, E. and Tsybakov, A.B.},
    title={Erratum: Smooth discrimination analysis (The Annals of Statistics (1999) 27 (1808-1829))},
    journal={Annals of Statistics},
    year={2004},
    volume={32},
    number={5},
    pages={2340-2341},
    doi={10.1214/009053604000000869},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-24344503785&doi=10.1214%2f009053604000000869&partnerID=40&md5=bd138454d570e18323fa7124925100ae},
    document_type={Erratum},
    source={Scopus},
    }
  • Dicussion on the meeting on ‘statistical approaches to inverse problems’

    Journal of the royal statistical society. series b: statistical methodology, vol. 66, iss. 3, pp. 627-652, 2004.

    By G. Nason, E. Moulines, C. P. Robert, C. Andrieu, A. Stoffelen, D. Paul, F. Abramovich, R. G. Aykroyd, R. M. West, S. Meng, C. Butucea, L. Cavalier, N. Cressie, M. Davy, D. De Canditiis, M. Pensky, Y. Golubev, R. N. Hoffman, E. Khabie-Zeitoune, A. Munk, F. H. Ruymgaart, S. C. Olhede, A. Tsybakov, G. Wahba, I. M. Johnstone, G. Kerkyacharian, D. Picard, M. Raimondo, P. J. Wolfe, S. J. Godsill, W. -J. Ng, H. Haario, M. Laine, M. Lehtinen, E. Saksman, J. Tamminen, D. Cornford, L. Csató, D. J. Evans, and M. Opper

    [DOI] [Bibtex]

    @ARTICLE{Nason2004627,
    author={Nason, G. and Moulines, E. and Robert, C.P. and Andrieu, C. and Stoffelen, A. and Paul, D. and Abramovich, F. and Aykroyd, R.G. and West, R.M. and Meng, S. and Butucea, C. and Cavalier, L. and Cressie, N. and Davy, M. and De Canditiis, D. and Pensky, M. and Golubev, Yu. and Hoffman, R.N. and Khabie-Zeitoune, E. and Munk, A. and Ruymgaart, F.H. and Olhede, S.C. and Tsybakov, A. and Wahba, G. and Johnstone, I.M. and Kerkyacharian, G. and Picard, D. and Raimondo, M. and Wolfe, P.J. and Godsill, S.J. and Ng, W.-J. and Haario, H. and Laine, M. and Lehtinen, M. and Saksman, E. and Tamminen, J. and Cornford, D. and Csató, L. and Evans, D.J. and Opper, M.},
    title={Dicussion on the meeting on 'Statistical approaches to inverse problems'},
    journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
    year={2004},
    volume={66},
    number={3},
    pages={627-652},
    doi={10.1111/j.1467-9868.2004.2060d.x},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3543029866&doi=10.1111%2fj.1467-9868.2004.2060d.x&partnerID=40&md5=2248eed47eeba4507b850cf6aa116606},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Nonparametric independent component analysis

    Bernoulli, vol. 10, iss. 4, pp. 565-582, 2004.

    By A. Samarov and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Samarov2004565,
    author={Samarov, A. and Tsybakov, A.},
    title={Nonparametric independent component analysis},
    journal={Bernoulli},
    year={2004},
    volume={10},
    number={4},
    pages={565-582},
    doi={10.3150/bj/1093265630},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-29144464874&doi=10.3150%2fbj%2f1093265630&partnerID=40&md5=b141deb942cf53988a0fa7db24e08eff},
    document_type={Article},
    source={Scopus},
    }
  • Optimal aggregation of classifiers in statistical learning

    Annals of statistics, vol. 32, iss. 1, pp. 135-166, 2004.

    By A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Tsybakov2004135,
    author={Tsybakov, A.B.},
    title={Optimal aggregation of classifiers in statistical learning},
    journal={Annals of Statistics},
    year={2004},
    volume={32},
    number={1},
    pages={135-166},
    doi={10.1214/aos/1079120131},
    note={cited By 319},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3142725508&doi=10.1214%2faos%2f1079120131&partnerID=40&md5=dbeea69d86992bc835627b3c424f2c86},
    document_type={Article},
    source={Scopus},
    }

2003

  • Laplace transform estimates and deviation inequalities

    Annales de l’institut henri poincare (b) probability and statistics, vol. 39, iss. 1, pp. 1-26, 2003.

    By O. Catoni

    [DOI] [Bibtex]

    @ARTICLE{Catoni20031,
    author={Catoni, O.},
    title={Laplace transform estimates and deviation inequalities},
    journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
    year={2003},
    volume={39},
    number={1},
    pages={1-26},
    doi={10.1016/S0246-0203(02)00017-1},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037272395&doi=10.1016%2fS0246-0203%2802%2900017-1&partnerID=40&md5=2c298761f98bcbde4aef6717e80c0b42},
    document_type={Article},
    source={Scopus},
    }
  • Optimal prediction for linear regression with infinitely many parameters

    Journal of multivariate analysis, vol. 84, iss. 1, pp. 40-60, 2003.

    By A. Goldenshluger and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Goldenshluger200340,
    author={Goldenshluger, A. and Tsybakov, A.},
    title={Optimal prediction for linear regression with infinitely many parameters},
    journal={Journal of Multivariate Analysis},
    year={2003},
    volume={84},
    number={1},
    pages={40-60},
    doi={10.1016/S0047-259X(02)00006-4},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037288986&doi=10.1016%2fS0047-259X%2802%2900006-4&partnerID=40&md5=66aab9bbf66462c14015606956bf0f6c},
    document_type={Review},
    source={Scopus},
    }
  • Rejoinder

    Journal of business and economic statistics, vol. 21, iss. 4, pp. 503-509, 2003.

    By S. Pastorello, V. Patilea, and E. Renault

    [Bibtex]

    @ARTICLE{Pastorello2003RejoinderRejoinder,
    author = {Sergio Pastorello and Valentin Patilea and Eric Renault},
    title = {{Rejoinder}},
    journal = {Journal of Business and Economic Statistics},
    year = {2003},
    volume = {21},
    number = {4},
    pages = {503-509}}
  • Rejoinder

    Journal of business and economic statistics, vol. 21, iss. 4, pp. 503-509, 2003.

    By S. Pastorello, V. Patilea, and E. Renault

    [Bibtex]

    @ARTICLE{Pastorello2003503,
    author={Pastorello, S. and Patilea, V. and Renault, E.},
    title={Rejoinder},
    journal={Journal of Business and Economic Statistics},
    year={2003},
    volume={21},
    number={4},
    pages={503-509},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242318895&partnerID=40&md5=2ea1da8ae452c17f8fc03aa7d94451ee},
    document_type={Note},
    source={Scopus},
    }
  • Iterative and recursive estimation in structural nonadaptive models

    Journal of business and economic statistics, vol. 21, iss. 4, pp. 449-509, 2003.

    By S. Pastorello, V. Patilea, and E. Renault

    [DOI] [Bibtex]

    @ARTICLE{Pastorello2003449,
    author={Pastorello, S. and Patilea, V. and Renault, E.},
    title={Iterative and Recursive Estimation in Structural Nonadaptive Models},
    journal={Journal of Business and Economic Statistics},
    year={2003},
    volume={21},
    number={4},
    pages={449-509},
    doi={10.1198/073500103288619124},
    note={cited By 28},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242318897&doi=10.1198%2f073500103288619124&partnerID=40&md5=a145e1a11041e50f2d9a3a01742d4219},
    document_type={Review},
    source={Scopus},
    }

2002

  • Random Rates in Anisotropic Regression: Discussion

    Annals of statistics, vol. 30, iss. 2, pp. 359-396, 2002.

    By L. Birge, L. D. Brown, Y. Lin, S. Efromovich, D. Picard, K. Tribouley, A. B. Tsybakov, S. V. D. Geer, M. Hoffmann, and O. Lepski

    [Bibtex]

    @ARTICLE{Birge2002RandomDiscussion,
    author = {Lucien Birge and Lawrence D. Brown and Yi Lin and Sam Efromovich and Dominique Picard and Karine Tribouley and Alexandre B. Tsybakov and Sara Van De Geer and M. Hoffmann and O. Lepski},
    title = {{Random Rates in Anisotropic Regression: Discussion}},
    journal = {Annals of Statistics},
    year = {2002},
    volume = {30},
    number = {2},
    pages = {359-396}}
  • Random rates in anisotropic regression: discussion

    Annals of statistics, vol. 30, iss. 2, pp. 359-396, 2002.

    By L. Birge, L. D. Brown, Y. Lin, S. Efromovich, D. Picard, K. Tribouley, A. B. Tsybakov, S. Van De Geer, M. Hoffmann, and O. Lepski

    [Bibtex]

    @ARTICLE{Birge2002359,
    author={Birge, L. and Brown, L.D. and Lin, Y. and Efromovich, S. and Picard, D. and Tribouley, K. and Tsybakov, A.B. and Van De Geer, S. and Hoffmann, M. and Lepski, O.},
    title={Random Rates in Anisotropic Regression: Discussion},
    journal={Annals of Statistics},
    year={2002},
    volume={30},
    number={2},
    pages={359-396},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0043289755&partnerID=40&md5=24b3d786060c157aa6ffc4b44ca17ff9},
    document_type={Note},
    source={Scopus},
    }
  • Sharp adaptation for inverse problems with random noise

    Probability theory and related fields, vol. 123, iss. 3, pp. 323-354, 2002.

    By L. Cavalier and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Cavalier2002323,
    author={Cavalier, L. and Tsybakov, A.},
    title={Sharp adaptation for inverse problems with random noise},
    journal={Probability Theory and Related Fields},
    year={2002},
    volume={123},
    number={3},
    pages={323-354},
    doi={10.1007/s004400100169},
    note={cited By 93},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036022583&doi=10.1007%2fs004400100169&partnerID=40&md5=41f256cd1dc460fabe5383ad6c80dd2a},
    document_type={Article},
    source={Scopus},
    }
  • Oracle inequalities for inverse problems

    Annals of statistics, vol. 30, iss. 3, pp. 843-874, 2002.

    By L. Cavalier, G. K. Golubev, D. Picard, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Cavalier2002843,
    author={Cavalier, L. and Golubev, G.K. and Picard, D. and Tsybakov, A.B.},
    title={Oracle inequalities for inverse problems},
    journal={Annals of Statistics},
    year={2002},
    volume={30},
    number={3},
    pages={843-874},
    doi={10.1214/aos/1028674843},
    note={cited By 100},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036045292&doi=10.1214%2faos%2f1028674843&partnerID=40&md5=3f21f122b2b22bb519cd1ad5cee99ca9},
    document_type={Article},
    source={Scopus},
    }
  • A sequential particle filter method for static models

    Biometrika, vol. 89, iss. 3, pp. 539-551, 2002.

    By N. Chopin

    [DOI] [Bibtex]

    @ARTICLE{Chopin2002539,
    author={Chopin, N.},
    title={A sequential particle filter method for static models},
    journal={Biometrika},
    year={2002},
    volume={89},
    number={3},
    pages={539-551},
    doi={10.1093/biomet/89.3.539},
    note={cited By 285},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0012338718&doi=10.1093%2fbiomet%2f89.3.539&partnerID=40&md5=a068b6008fade7cc4bacd2b17c5232ee},
    document_type={Review},
    source={Scopus},
    }
  • Testing hypotheses about contours in images

    Journal of nonparametric statistics, vol. 14, iss. 1-2, pp. 67-85, 2002.

    By G. Gayraud and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Gayraud200267,
    author={Gayraud, G. and Tsybakov, A.B.},
    title={Testing hypotheses about contours in images},
    journal={Journal of Nonparametric Statistics},
    year={2002},
    volume={14},
    number={1-2},
    pages={67-85},
    doi={10.1080/10485250211387},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036556157&doi=10.1080%2f10485250211387&partnerID=40&md5=4b9821e53dfa1b6b807b03f6a22cae71},
    document_type={Article},
    source={Scopus},
    }

2001

  • Numerical results concerning a sharp adaptive density estimator

    Computational statistics, vol. 16, iss. 2, pp. 271-298, 2001.

    By C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Butucea2001271,
    author={Butucea, C.},
    title={Numerical results concerning a sharp adaptive density estimator},
    journal={Computational Statistics},
    year={2001},
    volume={16},
    number={2},
    pages={271-298},
    doi={10.1007/s001800100065},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035630175&doi=10.1007%2fs001800100065&partnerID=40&md5=434ba907cb43977510d2275f23c807e4},
    document_type={Article},
    source={Scopus},
    }
  • Exact adaptive pointwise estimation on sobolev classes of densities

    Esaim – probability and statistics, vol. 5, pp. 1-31, 2001.

    By C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Butucea20011,
    author={Butucea, C.},
    title={Exact adaptive pointwise estimation on sobolev classes of densities},
    journal={ESAIM - Probability and Statistics},
    year={2001},
    volume={5},
    pages={1-31},
    doi={10.1051/ps:2001100},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858745362&doi=10.1051%2fps%3a2001100&partnerID=40&md5=3f9ac550fd595b36f14b1453a03bb0ba},
    document_type={Article},
    source={Scopus},
    }
  • Adaptive prediction and estimation in linear regression with infinitely many parameters

    Annals of statistics, vol. 29, iss. 6, pp. 1601-1619, 2001.

    By A. Goldenshluger and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Goldenshluger20011601,
    author={Goldenshluger, A. and Tsybakov, A.},
    title={Adaptive prediction and estimation in linear regression with infinitely many parameters},
    journal={Annals of Statistics},
    year={2001},
    volume={29},
    number={6},
    pages={1601-1619},
    doi={10.1214/aos/1015345956},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035528155&doi=10.1214%2faos%2f1015345956&partnerID=40&md5=9f881b3ee2ac96b16042eda80ccc592c},
    document_type={Article},
    source={Scopus},
    }
  • Sharp adaptive estimation of linear functionals

    Annals of statistics, vol. 29, iss. 6, pp. 1567-1600, 2001.

    By J. Klemela and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Klemela20011567,
    author={Klemela, J. and Tsybakov, A.B.},
    title={Sharp adaptive estimation of linear functionals},
    journal={Annals of Statistics},
    year={2001},
    volume={29},
    number={6},
    pages={1567-1600},
    doi={10.1214/aos/1015345955},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035528160&doi=10.1214%2faos%2f1015345955&partnerID=40&md5=3f1b222dfe6f38e5b0bb7ac479df9785},
    document_type={Article},
    source={Scopus},
    }
  • Convex models, mle and misspecification

    Annals of statistics, vol. 29, iss. 1, pp. 94-123, 2001.

    By V. Patilea

    [DOI] [Bibtex]

    @ARTICLE{Patilea200194,
    author={Patilea, V.},
    title={Convex models, MLE and misspecification},
    journal={Annals of Statistics},
    year={2001},
    volume={29},
    number={1},
    pages={94-123},
    doi={10.1214/aos/996986503},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035632525&doi=10.1214%2faos%2f996986503&partnerID=40&md5=c6af49f47a9284ba226120fb7c627b63},
    document_type={Article},
    source={Scopus},
    }

2000

  • The adaptive rate of convergence in a problem of pointwise density estimation

    Statistics and probability letters, vol. 47, iss. 1, pp. 85-90, 2000.

    By C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Butucea200085,
    author={Butucea, C.},
    title={The adaptive rate of convergence in a problem of pointwise density estimation},
    journal={Statistics and Probability Letters},
    year={2000},
    volume={47},
    number={1},
    pages={85-90},
    doi={10.1016/s0167-7152(99)00141-8},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0042278758&doi=10.1016%2fs0167-7152%2899%2900141-8&partnerID=40&md5=bafbb1496aa632d51ac8ffd054425ef9},
    document_type={Article},
    source={Scopus},
    }
  • The loop erased exit path and the metastability of a biased vote process

    Stochastic processes and their applications, vol. 86, iss. 2, pp. 231-261, 2000.

    By O. Catoni, D. Chen, and J. Xie

    [DOI] [Bibtex]

    @ARTICLE{Catoni2000231,
    author={Catoni, O. and Chen, D. and Xie, J.},
    title={The loop erased exit path and the metastability of a biased vote process},
    journal={Stochastic Processes and their Applications},
    year={2000},
    volume={86},
    number={2},
    pages={231-261},
    doi={10.1016/S0304-4149(99)00096-4},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0042207591&doi=10.1016%2fS0304-4149%2899%2900096-4&partnerID=40&md5=6d23e2b441a1dd94c08983a78f394037},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point

    Probability theory and related fields, vol. 117, iss. 1, pp. 17-48, 2000.

    By O. V. Lepski and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Lepski200017,
    author={Lepski, O.V. and Tsybakov, A.B.},
    title={Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point},
    journal={Probability Theory and Related Fields},
    year={2000},
    volume={117},
    number={1},
    pages={17-48},
    doi={10.1007/s004400050265},
    note={cited By 46},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034399225&doi=10.1007%2fs004400050265&partnerID=40&md5=c3a994ae5a79499d4cd0e0e0e8902901},
    document_type={Article},
    source={Scopus},
    }
  • On the best rate of adaptive estimation in some inverse problems [sur la meilleure vitesse d’estimation adaptative dans des certains problemes inverses]

    Comptes rendus de l’academie des sciences – series i: mathematics, vol. 330, iss. 9, pp. 835-840, 2000.

    By A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Tsybakov2000835,
    author={Tsybakov, A.},
    title={On the best rate of adaptive estimation in some inverse problems [Sur la meilleure vitesse d'estimation adaptative dans des certains problemes inverses]},
    journal={Comptes Rendus de l'Academie des Sciences - Series I: Mathematics},
    year={2000},
    volume={330},
    number={9},
    pages={835-840},
    doi={10.1016/S0764-4442(00)00278-0},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034179341&doi=10.1016%2fS0764-4442%2800%2900278-0&partnerID=40&md5=b97871e4136170c4df5f6acd5ec7e048},
    document_type={Article},
    source={Scopus},
    }

1999

  • Bayesian estimation of switching arma models

    Journal of econometrics, vol. 93, iss. 2, pp. 229-255, 1999.

    By M. Billio, A. Monfort, and C. P. Robert

    [DOI] [Bibtex]

    @ARTICLE{Billio1999229,
    author={Billio, M. and Monfort, A. and Robert, C.P.},
    title={Bayesian estimation of switching ARMA models},
    journal={Journal of Econometrics},
    year={1999},
    volume={93},
    number={2},
    pages={229-255},
    doi={10.1016/S0304-4076(99)00010-X},
    note={cited By 37},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001958038&doi=10.1016%2fS0304-4076%2899%2900010-X&partnerID=40&md5=a165d6c95e81d778f58f986177ef2d58},
    document_type={Article},
    source={Scopus},
    }
  • Exact adaptive constant in density estimation [constante exacte adaptative dans l’estimation de la densite]

    Comptes rendus de l’academie des sciences – series i: mathematics, vol. 329, iss. 6, pp. 535-540, 1999.

    By C. Butucea

    [DOI] [Bibtex]

    @ARTICLE{Butucea1999535,
    author={Butucea, C.},
    title={Exact adaptive constant in density estimation [Constante exacte adaptative dans l'estimation de la densite]},
    journal={Comptes Rendus de l'Academie des Sciences - Series I: Mathematics},
    year={1999},
    volume={329},
    number={6},
    pages={535-540},
    doi={10.1016/S0764-4442(00)80057-9},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033567766&doi=10.1016%2fS0764-4442%2800%2980057-9&partnerID=40&md5=e303880900890aef3dfbc1bbdd936aa7},
    document_type={Article},
    source={Scopus},
    }
  • Smooth discrimination analysis

    Annals of statistics, vol. 27, iss. 6, pp. 1808-1829, 1999.

    By E. Mammen and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Mammen19991808,
    author={Mammen, E. and Tsybakov, A.B.},
    title={Smooth discrimination analysis},
    journal={Annals of Statistics},
    year={1999},
    volume={27},
    number={6},
    pages={1808-1829},
    doi={10.1214/aos/1017939240},
    note={cited By 175},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033234630&doi=10.1214%2faos%2f1017939240&partnerID=40&md5=b0f69b05c5b49cdb6c44571331d91885},
    document_type={Article},
    source={Scopus},
    }

1998

  • The energy transformation method for the metropolis algorithm compared with simulated annealing

    Probability theory and related fields, vol. 110, iss. 1, pp. 69-89, 1998.

    By O. Catoni

    [DOI] [Bibtex]

    @ARTICLE{Catoni199869,
    author={Catoni, O.},
    title={The energy transformation method for the Metropolis algorithm compared with Simulated Annealing},
    journal={Probability Theory and Related Fields},
    year={1998},
    volume={110},
    number={1},
    pages={69-89},
    doi={10.1007/s004400050145},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0038936316&doi=10.1007%2fs004400050145&partnerID=40&md5=e87cdfe492332fa537c17c09c1c6c4c2},
    document_type={Article},
    source={Scopus},
    }
  • Solving scheduling problems by simulated annealing

    Siam journal on control and optimization, vol. 36, iss. 5, pp. 1539-1575, 1998.

    By O. Catoni

    [DOI] [Bibtex]

    @ARTICLE{Catoni19981539,
    author={Catoni, O.},
    title={Solving scheduling problems by simulated annealing},
    journal={SIAM Journal on Control and Optimization},
    year={1998},
    volume={36},
    number={5},
    pages={1539-1575},
    doi={10.1137/S0363012996307813},
    note={cited By 22},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032164346&doi=10.1137%2fS0363012996307813&partnerID=40&md5=3ac14fe1f235b93485fdddb3968fcae9},
    document_type={Article},
    source={Scopus},
    }
  • Piecewise constant triangular cooling schedules for generalized simulated annealing algorithms

    Annals of applied probability, vol. 8, iss. 2, pp. 375-396, 1998.

    By C. Cot and O. Catoni

    [DOI] [Bibtex]

    @ARTICLE{Cot1998375,
    author={Cot, C. and Catoni, O.},
    title={Piecewise constant triangular cooling schedules for generalized simulated annealing algorithms},
    journal={Annals of Applied Probability},
    year={1998},
    volume={8},
    number={2},
    pages={375-396},
    doi={10.1214/aoap/1028903532},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032221195&doi=10.1214%2faoap%2f1028903532&partnerID=40&md5=f8e90e5bee6e67aedc668847b9eef57f},
    document_type={Article},
    source={Scopus},
    }
  • Exact asymptotic minimax constants for the estimation of analytical functions in lp

    Probability theory and related fields, vol. 112, iss. 1, pp. 33-51, 1998.

    By E. Guerre and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Guerre199833,
    author={Guerre, E. and Tsybakov, A.B.},
    title={Exact asymptotic minimax constants for the estimation of analytical functions in Lp},
    journal={Probability Theory and Related Fields},
    year={1998},
    volume={112},
    number={1},
    pages={33-51},
    doi={10.1007/s004400050182},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032166990&doi=10.1007%2fs004400050182&partnerID=40&md5=fff6c8f8651e7ab2c0f3200a0e416276},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric vector autoregression

    Journal of statistical planning and inference, vol. 68, iss. 2, pp. 221-245, 1998.

    By W. Hardle, A. Tsybakov, and L. Yang

    [DOI] [Bibtex]

    @ARTICLE{Hardle1998221,
    author={Hardle, W. and Tsybakov, A. and Yang, L.},
    title={Nonparametric vector autoregression},
    journal={Journal of Statistical Planning and Inference},
    year={1998},
    volume={68},
    number={2},
    pages={221-245},
    doi={10.1016/s0378-3758(97)00143-2},
    note={cited By 53},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032523349&doi=10.1016%2fs0378-3758%2897%2900143-2&partnerID=40&md5=c8e8f6df184f93512106fde56597ec51},
    document_type={Article},
    source={Scopus},
    }
  • Pointwise and sup-norm sharp adaptive estimation of functions on the sobolev classes

    Annals of statistics, vol. 26, iss. 6, pp. 2420-2469, 1998.

    By A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Tsybakov19982420,
    author={Tsybakov, A.B.},
    title={Pointwise and sup-norm sharp adaptive estimation of functions on the Sobolev classes},
    journal={Annals of Statistics},
    year={1998},
    volume={26},
    number={6},
    pages={2420-2469},
    doi={10.1214/aos/1024691478},
    note={cited By 56},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032243618&doi=10.1214%2faos%2f1024691478&partnerID=40&md5=84703a07c8040bf42c4b55e689dcb56e},
    document_type={Article},
    source={Scopus},
    }

1997

  • The exit path of a markov chain with rare transitions

    Esaim – probability and statistics, vol. 1, pp. 95-144, 1997.

    By O. Catoni and R. Cerf

    [DOI] [Bibtex]

    @ARTICLE{Catoni199795,
    author={Catoni, O. and Cerf, R.},
    title={The exit path of a Markov chain with rare transitions},
    journal={ESAIM - Probability and Statistics},
    year={1997},
    volume={1},
    pages={95-144},
    doi={10.1051/ps:1997105},
    note={cited By 31},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964346346&doi=10.1051%2fps%3a1997105&partnerID=40&md5=eb06b835ae84b80932715aa3f2d17b4a},
    document_type={Article},
    source={Scopus},
    }
  • Local polynomial estimators of the volatility function in nonparametric autoregression

    Journal of econometrics, vol. 81, iss. 1, pp. 223-242, 1997.

    By W. Hardle and A. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Hardle1997223,
    author={Hardle, W. and Tsybakov, A.},
    title={Local polynomial estimators of the volatility function in nonparametric autoregression},
    journal={Journal of Econometrics},
    year={1997},
    volume={81},
    number={1},
    pages={223-242},
    doi={10.1016/S0304-4076(97)00044-4},
    note={cited By 137},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0000961658&doi=10.1016%2fS0304-4076%2897%2900044-4&partnerID=40&md5=288157cff385595d031f95f9b19563b7},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotically efficient signal estimation in L2 under the general loss functions

    Problemy peredachi informatsii, vol. 33, iss. 1, pp. 94-106, 1997.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1997AsymptoticallyFunctions,
    author = {A. B. Tsybakov},
    title = {{Asymptotically efficient signal estimation in L2 under the general loss functions}},
    journal = {Problemy Peredachi Informatsii},
    year = {1997},
    volume = {33},
    number = {1},
    pages = {94-106}}
  • On nonparametric estimation of density level sets

    Annals of statistics, vol. 25, iss. 3, pp. 948-969, 1997.

    By A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Tsybakov1997948,
    author={Tsybakov, A.B.},
    title={On nonparametric estimation of density level sets},
    journal={Annals of Statistics},
    year={1997},
    volume={25},
    number={3},
    pages={948-969},
    doi={10.1214/aos/1069362732},
    note={cited By 123},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031478562&doi=10.1214%2faos%2f1069362732&partnerID=40&md5=e3ec0242b3c1893fc21e566f026e8b27},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotically efficient signal estimation in l2 under the general loss functions

    Problemy peredachi informatsii, vol. 33, iss. 1, pp. 94-106, 1997.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov199794,
    author={Tsybakov, A.B.},
    title={Asymptotically efficient signal estimation in L2 under the general loss functions},
    journal={Problemy Peredachi Informatsii},
    year={1997},
    volume={33},
    number={1},
    pages={94-106},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030697658&partnerID=40&md5=b8da65046c51a5d090d779f7e6c5b7e1},
    document_type={Article},
    source={Scopus},
    }

1996

  • The legendre transform of two replicas of the sherrington-kirkpatrick spin glass model: a free energy inequality

    Probability theory and related fields, vol. 105, iss. 3, pp. 369-392, 1996.

    By O. Catoni

    [DOI] [Bibtex]

    @ARTICLE{Catoni1996369,
    author={Catoni, O.},
    title={The legendre transform of two replicas of the Sherrington-Kirkpatrick spin glass model: A free energy inequality},
    journal={Probability Theory and Related Fields},
    year={1996},
    volume={105},
    number={3},
    pages={369-392},
    doi={10.1007/BF01192213},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030554435&doi=10.1007%2fBF01192213&partnerID=40&md5=bcb30b2a44526c5fb15af0ca5cfddb12},
    document_type={Article},
    source={Scopus},
    }
  • Metropolis, simulated annealing, and iterated energy transformation algorithms: theory and experiments

    Journal of complexity, vol. 12, iss. 4, pp. 595-623, 1996.

    By O. Catoni

    [DOI] [Bibtex]

    @ARTICLE{Catoni1996595,
    author={Catoni, O.},
    title={Metropolis, simulated annealing, and iterated energy transformation algorithms: Theory and experiments},
    journal={Journal of Complexity},
    year={1996},
    volume={12},
    number={4},
    pages={595-623},
    doi={10.1006/jcom.1996.0035},
    note={cited By 26},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030498362&doi=10.1006%2fjcom.1996.0035&partnerID=40&md5=da1b7534a4b1ef6ede7b6bcdedf730e5},
    document_type={Article},
    source={Scopus},
    }
  • Asymptotically efficient estimation of analytic functions in gaussian noise

    Bernoulli, vol. 2, iss. 2, pp. 167-181, 1996.

    By Y. K. Golubev, B. Y. Levit, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Golubev1996167,
    author={Golubev, Y.K. and Levit, B.Y. and Tsybakov, A.B.},
    title={Asymptotically efficient estimation of analytic functions in Gaussian noise},
    journal={Bernoulli},
    year={1996},
    volume={2},
    number={2},
    pages={167-181},
    doi={10.3150/bj/1193839222},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001552467&doi=10.3150%2fbj%2f1193839222&partnerID=40&md5=7e572e4ba91d7153009af7877ba49848},
    document_type={Article},
    source={Scopus},
    }
  • Root-n consistent estimators of entropy for densities with unbounded support

    Scandinavian journal of statistics, vol. 23, iss. 1, pp. 75-83, 1996.

    By A. B. Tsybakov and V. D. E. C. Meulen

    [Bibtex]

    @ARTICLE{Tsybakov1996Root-NSupport,
    author = {A. B. Tsybakov and E. C. Van Der Meulen},
    title = {{Root-n consistent estimators of entropy for densities with unbounded support}},
    journal = {Scandinavian Journal of Statistics},
    year = {1996},
    volume = {23},
    number = {1},
    pages = {75-83}}
  • Root-n consistent estimators of entropy for densities with unbounded support

    Scandinavian journal of statistics, vol. 23, iss. 1, pp. 75-83, 1996.

    By A. B. Tsybakov and E. C. Van Der Meulen

    [Bibtex]

    @ARTICLE{Tsybakov199675,
    author={Tsybakov, A.B. and Van Der Meulen, E.C.},
    title={Root-n consistent estimators of entropy for densities with unbounded support},
    journal={Scandinavian Journal of Statistics},
    year={1996},
    volume={23},
    number={1},
    pages={75-83},
    note={cited By 57},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030547960&partnerID=40&md5=903951e462bdccceded2949acff3c973},
    document_type={Article},
    source={Scopus},
    }

1995

  • Estimation of non-sharp support boundaries

    Journal of multivariate analysis, vol. 55, iss. 2, pp. 205-218, 1995.

    By W. Hardle, B. U. Park, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Hardle1995205,
    author={Hardle, W. and Park, B.U. and Tsybakov, A.B.},
    title={Estimation of non-sharp support boundaries},
    journal={Journal of Multivariate Analysis},
    year={1995},
    volume={55},
    number={2},
    pages={205-218},
    doi={10.1006/jmva.1995.1075},
    note={cited By 59},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001707735&doi=10.1006%2fjmva.1995.1075&partnerID=40&md5=3d6ff2c221d4f99debdaecde9bcaded5},
    document_type={Article},
    source={Scopus},
    }
  • Additive nonparametric regression on principal components

    Journal of nonparametric statistics, vol. 5, iss. 2, pp. 157-184, 1995.

    By W. Hardle and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Hardle1995157,
    author={Hardle, W. and Tsybakov, A.B.},
    title={Additive nonparametric regression on principal components},
    journal={Journal of Nonparametric Statistics},
    year={1995},
    volume={5},
    number={2},
    pages={157-184},
    doi={10.1080/10485259508832641},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001764049&doi=10.1080%2f10485259508832641&partnerID=40&md5=66eae1290b6ea18d9b7603d8804582e4},
    document_type={Article},
    source={Scopus},
    }
  • Visual error criteria for qualitative smoothing

    Journal of the american statistical association, vol. 90, iss. 430, pp. 499-507, 1995.

    By J. S. Marron and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Marron1995499,
    author={Marron, J.S. and Tsybakov, A.B.},
    title={Visual error criteria for qualitative smoothing},
    journal={Journal of the American Statistical Association},
    year={1995},
    volume={90},
    number={430},
    pages={499-507},
    doi={10.1080/01621459.1995.10476541},
    note={cited By 58},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-21844507395&doi=10.1080%2f01621459.1995.10476541&partnerID=40&md5=1670d8f214b4e6e044c29cfdcfe01675},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric recursive variance estimation

    Statistics, vol. 27, iss. 1-2, pp. 55-63, 1995.

    By S. Stadtmuller and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Stadtmuller199555,
    author={Stadtmuller, S. and Tsybakov, A.B.},
    title={Nonparametric recursive variance estimation},
    journal={Statistics},
    year={1995},
    volume={27},
    number={1-2},
    pages={55-63},
    doi={10.1080/02331889508802510},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-21844495548&doi=10.1080%2f02331889508802510&partnerID=40&md5=fd5f19e4025e7703270aecc0b5151b49},
    document_type={Article},
    source={Scopus},
    }

1994

  • Asymptotic efficiency in estimation of a convex set

    Problemy peredachi informatsii, vol. 30, iss. 4, pp. 33-44, 1994.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev1994AsymptoticSet,
    author = {A. P. Korostelev and A. B. Tsybakov},
    title = {{Asymptotic efficiency in estimation of a convex set}},
    journal = {Problemy Peredachi Informatsii},
    year = {1994},
    volume = {30},
    number = {4},
    pages = {33-44}}
  • Asymptotic efficiency in estimation of a convex set

    Problemy peredachi informatsii, vol. 30, iss. 4, pp. 33-44, 1994.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev199433,
    author={Korostelev, A.P. and Tsybakov, A.B.},
    title={Asymptotic efficiency in estimation of a convex set},
    journal={Problemy Peredachi Informatsii},
    year={1994},
    volume={30},
    number={4},
    pages={33-44},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0028522041&partnerID=40&md5=d4010d9a44ec460a15f1ce0b70995030},
    document_type={Article},
    source={Scopus},
    }

1993

  • How sensitive are average derivatives?

    Journal of econometrics, vol. 58, iss. 1-2, pp. 31-48, 1993.

    By W. Hardle and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Hardle199331,
    author={Hardle, W. and Tsybakov, A.B.},
    title={How sensitive are average derivatives?},
    journal={Journal of Econometrics},
    year={1993},
    volume={58},
    number={1-2},
    pages={31-48},
    doi={10.1016/0304-4076(93)90112-I},
    note={cited By 41},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38249003714&doi=10.1016%2f0304-4076%2893%2990112-I&partnerID=40&md5=992691804cdb0c7a156e0a02682e35ce},
    document_type={Article},
    source={Scopus},
    }
  • Estimating the density support and its functionals

    Problemy peredachi informatsii, vol. None, iss. 1, pp. 3-18, 1993.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev1993EstimatingFunctionals,
    author = {A. P. Korostelev and A. B. Tsybakov},
    title = {{Estimating the density support and its functionals}},
    journal = {Problemy Peredachi Informatsii},
    year = {1993},
    volume = {None},
    number = {1},
    pages = {3-18}}
  • Estimating the density support and its functionals

    Problemy peredachi informatsii, , iss. 1, pp. 3-18, 1993.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev19933,
    author={Korostelev, A.P. and Tsybakov, A.B.},
    title={Estimating the density support and its functionals},
    journal={Problemy Peredachi Informatsii},
    year={1993},
    number={1},
    pages={3-18},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0027347887&partnerID=40&md5=7827a75ff88b43c321abf034e1905037},
    document_type={Article},
    source={Scopus},
    }

1992

  • Nonparametric recurrent estimation in nonlinear ARX-models

    Problemy peredachi informatsii, vol. 29, iss. 4, pp. 24-34, 1992.

    By P. Dukan and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Dukan1992NonparametricArx-Models,
    author = {P. Dukan and A. B. Tsybakov},
    title = {{Nonparametric recurrent estimation in nonlinear ARX-models}},
    journal = {Problemy Peredachi Informatsii},
    year = {1992},
    volume = {29},
    number = {4},
    pages = {24-34}}
  • Nonparametric recurrent estimation in nonlinear arx-models

    Problemy peredachi informatsii, vol. 29, iss. 4, pp. 24-34, 1992.

    By P. Dukan and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Dukan199224,
    author={Dukan, P. and Tsybakov, A.B.},
    title={Nonparametric recurrent estimation in nonlinear ARX-models},
    journal={Problemy Peredachi Informatsii},
    year={1992},
    volume={29},
    number={4},
    pages={24-34},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0026936713&partnerID=40&md5=d3e70681d253bdf6603b3c90c0a5d9bf},
    document_type={Article},
    source={Scopus},
    }
  • Bandwidth choice for average derivative estimation

    Journal of the american statistical association, vol. 87, iss. 417, pp. 218-226, 1992.

    By W. Hardle, J. Hart, J. S. Marron, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Hardle1992218,
    author={Hardle, W. and Hart, J. and Marron, J.S. and Tsybakov, A.B.},
    title={Bandwidth choice for average derivative estimation},
    journal={Journal of the American Statistical Association},
    year={1992},
    volume={87},
    number={417},
    pages={218-226},
    doi={10.1080/01621459.1992.10475195},
    note={cited By 52},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864386741&doi=10.1080%2f01621459.1992.10475195&partnerID=40&md5=cafa22e52189064d715f9784f1be79d7},
    document_type={Article},
    source={Scopus},
    }
  • Optimal and robust kernel algorithms for passive stochastic approximation

    Ieee transactions on information theory, vol. 38, iss. 5, pp. 1577-1583, 1992.

    By A. V. Nazin, B. T. Polyak, and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Nazin19921577,
    author={Nazin, A.V. and Polyak, B.T. and Tsybakov, A.B.},
    title={Optimal and Robust Kernel Algorithms for Passive Stochastic Approximation},
    journal={IEEE Transactions on Information Theory},
    year={1992},
    volume={38},
    number={5},
    pages={1577-1583},
    doi={10.1109/18.149511},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0026916063&doi=10.1109%2f18.149511&partnerID=40&md5=4f0e81393e278cce35464c23c0775fbc},
    document_type={Article},
    source={Scopus},
    }

1991

  • Comment

    Journal of the american statistical association, vol. 86, iss. 414, p. 333, 1991.

    By W. Hardle and A. B. Tsybakov

    [DOI] [Bibtex]

    @ARTICLE{Hardle1991333,
    author={Hardle, W. and Tsybakov, A.B.},
    title={Comment},
    journal={Journal of the American Statistical Association},
    year={1991},
    volume={86},
    number={414},
    pages={333},
    doi={10.1080/01621459.1991.10475037},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84950437480&doi=10.1080%2f01621459.1991.10475037&partnerID=40&md5=c2874cec30a36e183cc23785b5cf43da},
    document_type={Note},
    source={Scopus},
    }
  • Optimal rates of convergence of estimates in the stochastic problem of computerized tomography

    Problems of information transmission, vol. 27, iss. 1, pp. 73-81, 1991.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev1991OptimalTomography,
    author = {A. P. Korostelev and A. B. Tsybakov},
    title = {{Optimal rates of convergence of estimates in the stochastic problem of computerized tomography}},
    journal = {Problems of information transmission},
    year = {1991},
    volume = {27},
    number = {1},
    pages = {73-81}}
  • Optimal convergence rates of estimates in probabilistic statement of tomography problem

    Problemy peredachi informatsii, vol. 27, iss. 1, pp. 92-103, 1991.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev1991OptimalProblem,
    author = {A. P. Korostelev and A. B. Tsybakov},
    title = {{Optimal convergence rates of estimates in probabilistic statement of tomography problem}},
    journal = {Problemy Peredachi Informatsii},
    year = {1991},
    volume = {27},
    number = {1},
    pages = {92-103}}
  • Optimal rates of convergence of estimates in the stochastic problem of computerized tomography

    Problems of information transmission, vol. 27, iss. 1, pp. 73-81, 1991.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev199173,
    author={Korostelev, A.P. and Tsybakov, A.B.},
    title={Optimal rates of convergence of estimates in the stochastic problem of computerized tomography},
    journal={Problems of information transmission},
    year={1991},
    volume={27},
    number={1},
    pages={73-81},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0026187782&partnerID=40&md5=6930dfcca4b0a044b66b216a8bb190d8},
    document_type={Article},
    source={Scopus},
    }
  • Optimal convergence rates of estimates in probabilistic statement of tomography problem

    Problemy peredachi informatsii, vol. 27, iss. 1, pp. 92-103, 1991.

    By A. P. Korostelev and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Korostelev199192,
    author={Korostelev, A.P. and Tsybakov, A.B.},
    title={Optimal convergence rates of estimates in probabilistic statement of tomography problem},
    journal={Problemy Peredachi Informatsii},
    year={1991},
    volume={27},
    number={1},
    pages={92-103},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025927221&partnerID=40&md5=c03ed63e25f300ff5b862a56d6380d64},
    document_type={Article},
    source={Scopus},
    }

1990

  • Optimal order of accuracy of search algorithms in stochastic optimization

    Problems of information transmission, vol. 26, iss. 2, pp. 126-133, 1990.

    By B. T. Polyak and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Polyak1990OptimalOptimization,
    author = {B. T. Polyak and A. B. Tsybakov},
    title = {{Optimal order of accuracy of search algorithms in stochastic optimization}},
    journal = {Problems of information transmission},
    year = {1990},
    volume = {26},
    number = {2},
    pages = {126-133}}
  • Optimal order of accuracy of search algorithms in stochastic optimization

    Problems of information transmission, vol. 26, iss. 2, pp. 126-133, 1990.

    By B. T. Polyak and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Polyak1990126,
    author={Polyak, B.T. and Tsybakov, A.B.},
    title={Optimal order of accuracy of search algorithms in stochastic optimization},
    journal={Problems of information transmission},
    year={1990},
    volume={26},
    number={2},
    pages={126-133},
    note={cited By 39},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025496781&partnerID=40&md5=1f8aafc84ab6e7180132522bdd7ce2f1},
    document_type={Article},
    source={Scopus},
    }
  • Locally-polynomial algorithms of passive stochastic approximation

    Problems of control and information theory, vol. 19, iss. 3, pp. 181-195, 1990.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1990Locally-PolynomialApproximation,
    author = {A. B. Tsybakov},
    title = {{Locally-polynomial algorithms of passive stochastic approximation}},
    journal = {Problems of control and information theory},
    year = {1990},
    volume = {19},
    number = {3},
    pages = {181-195}}
  • Recursive estimation of the mode of a multivariable distribution

    Problems of information transmission, vol. 26, iss. 1, pp. 31-37, 1990.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1990RecursiveDistribution,
    author = {A. B. Tsybakov},
    title = {{Recursive estimation of the mode of a multivariable distribution}},
    journal = {Problems of information transmission},
    year = {1990},
    volume = {26},
    number = {1},
    pages = {31-37}}
  • Optimal estimation accuracy of nonsmooth images

    Problems of information transmission, vol. 25, iss. 3, pp. 180-191, 1990.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1990OptimalImages,
    author = {A. B. Tsybakov},
    title = {{Optimal estimation accuracy of nonsmooth images}},
    journal = {Problems of information transmission},
    year = {1990},
    volume = {25},
    number = {3},
    pages = {180-191}}
  • Locally-polynomial algorithms of passive stochastic approximation

    Problems of control and information theory, vol. 19, iss. 3, pp. 181-195, 1990.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1990181,
    author={Tsybakov, A.B.},
    title={Locally-polynomial algorithms of passive stochastic approximation},
    journal={Problems of control and information theory},
    year={1990},
    volume={19},
    number={3},
    pages={181-195},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025539278&partnerID=40&md5=dc9fa96db247a698965cd0a2f1b1c8a0},
    document_type={Article},
    source={Scopus},
    }
  • Recursive estimation of the mode of a multivariable distribution

    Problems of information transmission, vol. 26, iss. 1, pp. 31-37, 1990.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov199031,
    author={Tsybakov, A.B.},
    title={Recursive estimation of the mode of a multivariable distribution},
    journal={Problems of information transmission},
    year={1990},
    volume={26},
    number={1},
    pages={31-37},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025461956&partnerID=40&md5=00e09b242bb763ab6e4dc719aa58383d},
    document_type={Article},
    source={Scopus},
    }
  • Optimal estimation accuracy of nonsmooth images

    Problems of information transmission, vol. 25, iss. 3, pp. 180-191, 1990.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1990180,
    author={Tsybakov, A.B.},
    title={Optimal estimation accuracy of nonsmooth images},
    journal={Problems of information transmission},
    year={1990},
    volume={25},
    number={3},
    pages={180-191},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025070591&partnerID=40&md5=a160ce7bc1d50a13c457919e0cdf8191},
    document_type={Article},
    source={Scopus},
    }

1987

  • TRANSMISSION ACCURACY OF A CONTINUOUS SIGNAL WITH BINARY QUANTIZATION.

    Problems of information transmission, vol. 23, iss. 1, pp. 56-65, 1987.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1987TransmissionQuantization.,
    author = {A. B. Tsybakov},
    title = {{TRANSMISSION ACCURACY OF A CONTINUOUS SIGNAL WITH BINARY QUANTIZATION.}},
    journal = {Problems of information transmission},
    year = {1987},
    volume = {23},
    number = {1},
    pages = {56-65}}
  • Transmission accuracy of a continuous signal with binary quantization.

    Problems of information transmission, vol. 23, iss. 1, pp. 56-65, 1987.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov198756,
    author={Tsybakov, A.B.},
    title={TRANSMISSION ACCURACY OF A CONTINUOUS SIGNAL WITH BINARY QUANTIZATION.},
    journal={Problems of information transmission},
    year={1987},
    volume={23},
    number={1},
    pages={56-65},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0023254323&partnerID=40&md5=d9d4305221069fab174819ad92dc23ef},
    document_type={Article},
    source={Scopus},
    }

1986

  • ROBUST RECONSTRUCTION OF FUNCTIONS BY THE LOCAL-APPROXIMATION METHOD.

    Problems of information transmission, vol. 22, iss. 2, pp. 133-146, 1986.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1986RobustMethod.,
    author = {A. B. Tsybakov},
    title = {{ROBUST RECONSTRUCTION OF FUNCTIONS BY THE LOCAL-APPROXIMATION METHOD.}},
    journal = {Problems of information transmission},
    year = {1986},
    volume = {22},
    number = {2},
    pages = {133-146}}
  • Robust reconstruction of functions by the local-approximation method.

    Problems of information transmission, vol. 22, iss. 2, pp. 133-146, 1986.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1986133,
    author={Tsybakov, A.B.},
    title={ROBUST RECONSTRUCTION OF FUNCTIONS BY THE LOCAL-APPROXIMATION METHOD.},
    journal={Problems of information transmission},
    year={1986},
    volume={22},
    number={2},
    pages={133-146},
    note={cited By 65},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0022692335&partnerID=40&md5=16be5914575bb71c214fd9d01664f1ab},
    document_type={Article},
    source={Scopus},
    }

1985

  • RATE OF CONVERGENCE OF NONPARAMETRIC ESTIMATES OF MAXIMUM-LIKELIHOOD TYPE.

    Problems of information transmission, vol. 21, iss. 4, pp. 258-272, 1985.

    By A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Nemirovskii1985RateType.,
    author = {A. S. Nemirovskii and B. T. Polyak and A. B. Tsybakov},
    title = {{RATE OF CONVERGENCE OF NONPARAMETRIC ESTIMATES OF MAXIMUM-LIKELIHOOD TYPE.}},
    journal = {Problems of information transmission},
    year = {1985},
    volume = {21},
    number = {4},
    pages = {258-272}}
  • Rate of convergence of nonparametric estimates of maximum-likelihood type.

    Problems of information transmission, vol. 21, iss. 4, pp. 258-272, 1985.

    By A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Nemirovskii1985258,
    author={Nemirovskii, A.S. and Polyak, B.T. and Tsybakov, A.B.},
    title={RATE OF CONVERGENCE OF NONPARAMETRIC ESTIMATES OF MAXIMUM-LIKELIHOOD TYPE.},
    journal={Problems of information transmission},
    year={1985},
    volume={21},
    number={4},
    pages={258-272},
    note={cited By 37},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0022140746&partnerID=40&md5=ddb36516cebdb345832e70c3830a47ad},
    document_type={Article},
    source={Scopus},
    }

1984

  • SIGNAL PROCESSING BY THE NONPARAMETRIC MAXIMUM-LIKELIHOOD.

    Problems of information transmission, vol. 20, iss. 3, pp. 177-192, 1984.

    By A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Nemirovskii1984SignalMaximum-Likelihood.,
    author = {A. S. Nemirovskii and B. T. Polyak and A. B. Tsybakov},
    title = {{SIGNAL PROCESSING BY THE NONPARAMETRIC MAXIMUM-LIKELIHOOD.}},
    journal = {Problems of information transmission},
    year = {1984},
    volume = {20},
    number = {3},
    pages = {177-192}}
  • Signal processing by the nonparametric maximum-likelihood.

    Problems of information transmission, vol. 20, iss. 3, pp. 177-192, 1984.

    By A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Nemirovskii1984177,
    author={Nemirovskii, A.S. and Polyak, B.T. and Tsybakov, A.B.},
    title={SIGNAL PROCESSING BY THE NONPARAMETRIC MAXIMUM-LIKELIHOOD.},
    journal={Problems of information transmission},
    year={1984},
    volume={20},
    number={3},
    pages={177-192},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0021456084&partnerID=40&md5=1986a169fec158bea730fc817da8805c},
    document_type={Article},
    source={Scopus},
    }

1982

  • ROBUST ESTIMATES OF A FUNCTION.

    Problems of information transmission, vol. 18, iss. 3, pp. 190-121, 1982.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1982RobustFunction.,
    author = {A. B. Tsybakov},
    title = {{ROBUST ESTIMATES OF A FUNCTION.}},
    journal = {Problems of information transmission},
    year = {1982},
    volume = {18},
    number = {3},
    pages = {190-121}}
  • NONPARAMETRIC SIGNAL ESTIMATION WHEN THERE IS INCOMPLETE INFORMATION ON THE NOISE DISTRIBUTION.

    Problems of information transmission, vol. 82, iss. 2, pp. 116-130, 1982.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1982NonparametricDistribution.,
    author = {A. B. Tsybakov},
    title = {{NONPARAMETRIC SIGNAL ESTIMATION WHEN THERE IS INCOMPLETE INFORMATION ON THE NOISE DISTRIBUTION.}},
    journal = {Problems of information transmission},
    year = {1982},
    volume = {82},
    number = {2},
    pages = {116-130}}
  • Robust estimates of a function.

    Problems of information transmission, vol. 18, iss. 3, pp. 190-121, 1982.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1982190,
    author={Tsybakov, A.B.},
    title={ROBUST ESTIMATES OF A FUNCTION.},
    journal={Problems of information transmission},
    year={1982},
    volume={18},
    number={3},
    pages={190-121},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0020152347&partnerID=40&md5=93ae691483e8c26c16dc0aa59d082499},
    document_type={Article},
    source={Scopus},
    }
  • Nonparametric signal estimation when there is incomplete information on the noise distribution.

    Problems of information transmission, vol. 82, iss. 2, pp. 116-130, 1982.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1982116,
    author={Tsybakov, A.B.},
    title={NONPARAMETRIC SIGNAL ESTIMATION WHEN THERE IS INCOMPLETE INFORMATION ON THE NOISE DISTRIBUTION.},
    journal={Problems of information transmission},
    year={1982},
    volume={82},
    number={2},
    pages={116-130},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0020112256&partnerID=40&md5=a8bd94ef9697e919efb1a26e5de07192},
    document_type={Article},
    source={Scopus},
    }

1981

  • ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.

    Problems of information transmission, vol. 17, iss. 1, pp. 33-42, 1981.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov1981ErrorRisk.,
    author = {A. B. Tsybakov},
    title = {{ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.}},
    journal = {Problems of information transmission},
    year = {1981},
    volume = {17},
    number = {1},
    pages = {33-42}}
  • Error bounds for the method of minimization of empirical risk.

    Problems of information transmission, vol. 17, iss. 1, pp. 33-42, 1981.

    By A. B. Tsybakov

    [Bibtex]

    @ARTICLE{Tsybakov198133,
    author={Tsybakov, A.B.},
    title={ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.},
    journal={Problems of information transmission},
    year={1981},
    volume={17},
    number={1},
    pages={33-42},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0019342752&partnerID=40&md5=f5b55c73fb18db6c2ff2e253288dbac6},
    document_type={Article},
    source={Scopus},
    }
  • Design litigation in the eu member states: are overlaps with other intellectual property rights and unfair competition problematic and are smes benefitting from the eu design legal framework?

    European law review, .

    By O. Church, E. Derclaye, and G. Stupfler

    [Bibtex]

    @ARTICLE{ ,
    title = {Design litigation in the EU Member States: Are overlaps with other intellectual property rights and unfair competition problematic and are SMEs benefitting from the EU design legal framework?},
    abstract = {Genuine overlaps (several intellectual property rights (IPR) applying to the same intellectual effort) create overprotection. There is hardly any empirical legal research done on how claimants have litigated at national level not only on their design rights but also on another IPR or unfair competition. This article fills this gap by examining the decisions on all types of design rights (registered and unregistered) from the courts of the 28 Member States since the entry into force of the Design Directive and Design Regulation until August 2017, where claimants also sued on the basis of another IPR namely patents, utility models, trade marks, copyright, and the tort of slavish imitation. The article also determines the proportion of small and medium-sized enterprises and big companies who litigate and their rate of winning. This gives the extent of the use of the EU design right system by type of company and an indication of its success.},
    issn = {0307-5400},
    journal = {European Law Review},
    note = {Once published, add set statement to Additional Information: "This is a pre-copyedited, author-produced version of an article accepted for publication in European Law Review following peer review. The definitive published version [insert complete citation information here] is available online on Westlaw UK."},
    publicationstatus = {Accepted},
    publisher = {Sweet and Maxwell},
    url = {https://nottingham-repository.worktribe.com/output/4844427},
    author = {Church, Oliver and Derclaye, Estelle and Stupfler, Gilles}
    }