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DTSTART;TZID=UTC:20240506T130000
DTEND;TZID=UTC:20240523T161500
DTSTAMP:20260710T204254
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SUMMARY:Estimation of Functionals of High-Dimensional Parameters: Bias Reduction and Concentration\, Vladimir Koltchinskii (Georgia Institute of Technology)
DESCRIPTION:  \n\n\n\n  \n  \nSCHEDULE\n  \nMonday\n  \n6th May 2024 \n13th May 2024\n  \nFrom 13:00 to 16:15\n  \nRoom 2033\n\n\n  \nThursday\n  \n16th May 2024 \n23rd May 2024\n  \nFrom 13:00 to 16:15\n  \nRoom 2033\n\n\n\nAims and objectives\nThe aim of this course will be on a circle of problems related to estimation of real valued functionals of parameters of high-dimensional statistical models. In such problems\, it is of interest to estimate onedimensional features of a high-dimensional parameter that are often represented by nonlinear functionals of certain degree of smoothness defined on the parameter space. The functionals of interest could be estimated with faster convergence rates than the whole parameter (sometimes\, even with parametric rates). The examples include\, for instance\, such problems as estimation of linear functionals of principal components (that are nonlinear functionals of unknown covariance) in high-dimensional PCA. The goal is to discuss several mathematical methods that provide a way to develop estimators of functionals of highdimensional parameters with optimal error rates in classes of functionals of some Hölder smoothness.\nMoreover\, when the degree of smoothness of the functional is above certain threshold\, the estimators in question have parametric √𝑛 error rate and are asymptotically efficient\, whereas the error rates become slower than √𝑛 when the degree of smoothness is below the threshold.\nThe following topics will be covered (at least\, to some extent):\n• preliminaries in high-dimensional probability and analysis (concentration inequalities\, comparison inequalities\, Hölder smoothness of operator functions\, etc);\n• non-asymptotic bounds and concentration inequalities for sample covariance in high-dimensional and dimension-free frameworks;\n• some approaches to concentration inequalities for smooth functionals of statistical estimators;\n• higher order bias reduction methods in functional estimation;\n– methods based on Taylor expansion and estimation of polynomials with reduced bias;\n– iterative bias reduction and bootstrap chains;\n– linear aggregation of plug-in estimators with different sample sizes and jackknife estimators;\n• minimax lower bounds in functional estimation (applications of van Trees inequality\, Nemirovski’s construction of least favorable functionals\, etc);\n• Examples:\n– high-dimensional and infinite dimensional Gaussian models: functionals of mean and of covariance;\n– log-concave models\, in particular\, log-concave location families;\n– high-dimensional exponential families;\n– nonparametric models\, functionals of unknown density;\n– linear functionals of spectral projections of matrix parameters. \n\n
URL:https://crest.science/event/estimation-of-functionals-of-high-dimensional-parameters-bias-reduction-and-concentration-vladimir-koltchinskii-georgia-institute-of-technology/
LOCATION:2033
CATEGORIES:Doctoral Courses,Statistics
ORGANIZER;CN="Alexandre%20Tsybakov":MAILTO:alexandre.tsybakov@ensae.fr
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240521T100000
DTEND;TZID=Europe/Helsinki:20240521T113000
DTSTAMP:20260710T204254
CREATED:20240517T160736Z
LAST-MODIFIED:20240517T160737Z
UID:17036-1716285600-1716291000@crest.science
SUMMARY:Séminaire compétitivité CEPII-Banque de France "Europe : quelles dépendances commerciales ?"
DESCRIPTION:Mardi 21 mai de 10h à 11h30  \nPrésentation du rapport Identifying European trade dependencies\, ITCEI\, CEPR par Isabelle Méjean (Sciences Po et CEPR)\net Pierre Rousseaux (CREST\, Ecole Polytechnique\, ENSAE)\nDiscussion par Pauline Wibaux (CEPII) \nhttp://www.cepii.fr/CEPII/fr/evenements/abstract.asp?IDReu=700 \n
URL:https://crest.science/event/seminaire-competitivite-cepii-banque-de-france-europe-quelles-dependances-commerciales/
CATEGORIES:Conferences and Workshops,Economics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240521T121500
DTEND;TZID=Europe/Helsinki:20240521T133000
DTSTAMP:20260710T204254
CREATED:20240510T121025Z
LAST-MODIFIED:20240515T141530Z
UID:17006-1716293700-1716298200@crest.science
SUMMARY:Clement MAZET-SONILHAC (Bocconi University)  "Capturing Subsidies or Storing Carbon: Evidence from the North Sea"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: 21h of May\nRoom : 3001 \n  \nClement MAZET-SONILHAC (Bocconi University) “Capturing Subsidies or Storing Carbon: Evidence from the North Sea” \n  \nAbstract : As the world strives to achieve zero emissions by 2050\, carbon capture and storage (CCS) has emerged as one of the key technologies in mitigating global warming\, prompting governments – such as the USA with its $370 bn Inflation Reduction Act – to subsidize it massively. However\, concerns remain that carbon storage may actually encourage additional carbon production\, thus defeating the purpose of CCS. We investigate the impact of subsidies on CCS adoption\, competition\, production\, and CO2 emissions in the North Sea oil & gas sector. For identification\, we draw on the heterogeneity of geological reservoir suitability for CCS and on a landmark 1985 Norwegian Supreme Court decision that encouraged CCS in Norway\, but not in the UK. Our findings suggest that oil majors respond to these subsidies by increasing production and developing more polluting fields\, over 50 years of data. \n  \nOrganizers:\nBenoît SCHMUTZ (Pôle d’économie du CREST)\nClément MALGOUYRES (Pôle d’économie du CREST)\nSponsors:\nCREST \n
URL:https://crest.science/event/clement-mazet-sonilhac-bocconi-university-capturing-subsidies-or-storing-carbon-evidence-from-the-north-sea/
CATEGORIES:Applied Seminar,Seminars
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