Concentration Inequalities and Model Selection: Ecole D'Eté de Probabilités de Saint-Flour XXXIII - 2003

Front Cover
Springer, Jun 11, 2007 - Mathematics - 337 pages
Concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also turn to be essential tools to develop a non asymptotic theory in statistics. This volume provides an overview of a non asymptotic theory for model selection. It also discusses some selected applications to variable selection, change points detection and statistical learning.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.


Exponential and Information Inequalities
Gaussian Processes

8 other sections not shown

Other editions - View all

Common terms and phrases

About the author (2007)

Prof. Massart has received the bronze medal of the CNRS (in mathematics and theoretical physics) in 1988 and the COPPS Presidents' award in 1998.