On some recent advances in high dimensional Bayesian Statistics

Chopin, Nicolas, Gadat, Sébastien, Guedj, Benjamin, Guyader, Arnaud and Vernet, Elodie (2015) On some recent advances in high dimensional Bayesian Statistics. Esaim Proceedings and Surveys, 51. pp. 293-319.

This is the latest version of this item.

[img]
Preview
Text
Download (2MB) | Preview
Official URL: http://tse-fr.eu/pub/29831

Abstract

This paper proposes to review some recent developments in Bayesian statistics for high dimensional data. After giving some brief motivations in a short introduction, we describe new advances in the understanding of Bayes posterior computation as well as theoretical contributions in non parametric and high dimensional Bayesian approaches. From an applied point of view, we describe the so-called sqmc particle method to compute posterior Bayesian law, and provide a nonparametric analysis of the widespread abc method. On the theoretical side, we describe some recent advances in Bayesian consistency for a nonparametric hidden Markov model as well as new pac-Bayesian results for different models of high dimensional regression.

Item Type: Article
Language: English
Date: October 2015
Refereed: Yes
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 05 Nov 2015 15:11
Last Modified: 07 Mar 2018 13:23
OAI ID: oai:tse-fr.eu:29831
URI: http://publications.ut-capitole.fr/id/eprint/18602

Available Versions of this Item

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year