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This user has no media.Du Roy de Chaumaray, M., Marbac M. and Navarro, F.
Mixture of hidden Markov models for accelerometer data.
Annals of Applied Statistics, forthcoming. [Journal - arXiv]
Biernacki, C., Marbac, M. and Vandewalle, V.
Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering.
Journal of Classification, forthcoming [Journal - Hal]
Marbac, M. and Patin, E. and Sedki, M. (2020)
Variable selection for mixed data clustering: Application in human population genomics.
Journal of Classification, 37 124–142 [Journal - R package VarSelLCM.2.1 - Package tutorial]
Saldanha Gomes, C., Marbac, M., Sedki, M., Cornet, M., Plancoulainr, S., Charles, M.-A., Lioret, S. and Dargent-Molina, P. (2020)
Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort.
International Journal of Behavioral Nutrition and Physical Activity; 17, 20 [Journal]
Marbac, M. and Sedki, M. (2019)
VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values.
Bioinformatics, 35 (7), 1255-1257 [Journal]
Marbac, M., and Vandewalle, V. (2019)
A tractable Multi-Partitions Clustering.
Computational Statistics and Data Analysis, 132, 167-179 [Journal]
Marbac, M., Sedki, M., Boutron-Ruault, M.C., and Dumas, O. (2018)
Patterns of cleaning product exposures using a novel clustering approach for data with correlated variables.
Annals of Epidemiology, 28 (8), 563-569.e6 [Journal]
Marbac, M. and Sedki, M. (2017)
A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data.
Computational Statistics and Data Analysis, 114, 130-145 [Journal - R package MvBinary.1.0 - Package tutorial]
Cheam, A.S.M., Marbac, M. and McNicholas, P.D. (2017)
Model-based clustering for spatio-temporal data on air quality monitoring.
Environmetrics, 8 (3) [Journal - R package SpaTimeClus.1.0]
Marbac, M., Biernacki, C. and Vandewalle, V. (2017)
Model-based clustering of Gaussian Copulas for Mixed Data.
Communications in Statistics – Theory and Methods, 46 (23) [Journal - R codes]
Marbac, M. and Sedki, M. (2017)
Variable selection for model-based clustering using the integrated complete-data likelihood.
Statistics and Computing, 27 (4) [Journal - R package VarSelLCM - Package tutorial]
Marbac, M., Biernacki, C. and Vandewalle, V. (2016)
Finite mixture model of conditional dependencies modes to cluster categorical data.
Advances in Data Analysis and Classification, 10 (2), 183-207 [Journal - R codes]
Marbac, M. and McNicholas, P.D. (2016)
Dimension reduction for clustering.
Wiley StatsRef : Statistics Reference Online, 1–7 [Journal]
Marbac, M., Tubert-Bitter, P. and Sedki, M. (2016)
Bayesian model selection in logistic regression for the detection of adverse drug reactions.
Biomertical Journal, 58, 1376–1389 [Journal - R package MHTrajectoryR.1.0]
Marbac, M., Biernacki, C. and Vandewalle, V. (2015)
Model-based clustering for conditionally correlated categorical data.
Journal of Classification, 32 (2), 145-175, [Journal - R codes]