Téléchargez le livre : Concentration and Gaussian Approximation for Randomized Sums

Concentration and Gaussian Approximation for Randomized Sums

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Éditeur :

Springer


Collection :

Probability Theory and Stochastic Modelling

Paru le : 2023-05-17

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Description

This book describes extensions of Sudakov's classical result on the concentration of measure phenomenon for weighted sums of dependent random variables. The central topics of the book are weighted sums of random variables and the concentration of their distributions around Gaussian laws. The analysis takes place within the broader context of concentration of measure for functions on high-dimensional spheres. Starting from the usual concentration of Lipschitz functions around their limiting mean, the authors proceed to derive concentration around limiting affine or polynomial functions, aiming towards a theory of higher order concentration based on functional inequalities of log-Sobolev and Poincaré type. These results make it possible to derive concentration of higher order for weighted sums of classes of dependent variables.

While the first part of the book discusses the basic notions and results from probability and analysis which are needed for the remainder of the book, the latter parts provide a thorough exposition of concentration, analysis on the sphere, higher order normal approximation and classes of weighted sums of dependent random variables with and without symmetries.
Pages
434 pages
Collection
Probability Theory and Stochastic Modelling
Parution
2023-05-17
Marque
Springer
EAN papier
9783031311482
EAN PDF
9783031311499
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
6339 Ko
Prix
158,24 €

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