2022 - T3 - WS3 - Measure-theoretic Approaches and Optimal Transportation in Statistics

Collection 2022 - T3 - WS3 - Measure-theoretic Approaches and Optimal Transportation in Statistics

Organizer(s) Aamari, Eddie ; Aaron, Catherine ; Chazal, Frédéric ; Fisher, Aurélie ; Hoffmann, Marc ; Le Brigant, Alice ; Levrard, Clément ; Michel, Bertrand

Date(s) 21/11/2022 - 25/11/2022

linked URL https://indico.math.cnrs.fr/event/7547/

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Advances in statistics via tools from Stein's Method

By Christophe Ley

Stein's Method is becoming increasingly popular in statistics and machine learning. In this talk, I will describe how various components from the famous Stein Method, a well-known approach in probability theory for approximation problems, have been recently put to successful use in theoretical and computational statistics.

Information about the video

Date of recording 21/11/2022
Date of publication 20/04/2024
Institution IHP
Language English
Audience Researchers, Graduate Students
Director(s) Alexandre Duplessis, Marco Perez
Format MP4
Venue Amphitheater Hermite, IHP

Citation data

DOI 10.57987/IHP.2022.T3.WS3.003
Cite this video Ley, Christophe (21/11/2022). Advances in statistics via tools from Stein's Method. IHP. Audiovisual resource. DOI: 10.57987/IHP.2022.T3.WS3.003
URL https://dx.doi.org/10.57987/IHP.2022.T3.WS3.003

Domain(s)

Statistics Theory

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