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集中不等式 与独立学习相关的非渐进理论 英文原版 Concentration Inequalities 英文版 进口英语书籍

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集中不等式 与独立学习相关的非渐进理论 英文原版 Concentration Inequalities 英文版 进口英语书籍 商品图1
集中不等式 与独立学习相关的非渐进理论 英文原版 Concentration Inequalities 英文版 进口英语书籍 商品缩略图0 集中不等式 与独立学习相关的非渐进理论 英文原版 Concentration Inequalities 英文版 进口英语书籍 商品缩略图1

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书名:Concentration Inequalities 集中不等式:与独立学习相关的非渐进理论

作者:Stephane Boucheron

出版社名称:Oxford University Press

出版时间:2016

语种:英语

ISBN:9780198767657

商品尺寸:2.7 x 23.1 x 15.4 cm

包装:平装

Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete mathematics, and

high-dimensional geometry. Roughly speaking, if a function of many independent random variables does not depend too much on any of the variables then it is concentrated in the sense that with high probability, it is close to its expected value. This book offers a host of inequalities to illustrate

this rich theory in an accessible way by covering the key developments and applications in the field. 

The authors describe the interplay between the probabilistic structure (independence) and a variety of tools ranging from functional inequalities to transportation arguments to information theory. Applications to the study of empirical processes, random projections, random matrix theory, and

threshold phenomena are also presented.

A self-contained introduction to concentration inequalities, it includes a survey of concentration of sums of independent random variables, variance bounds, the entropy method, and the transportation method. Deep connections with isoperimetric problems are revealed whilst special attention is paid

to applications to the supremum of empirical processes. 

Written by leading experts in the field and containing extensive exercise sections this book will be an invaluable resource for researchers and graduate students in mathematics, theoretical computer science, and engineering.

Stephane Boucheron, Laboratoire de Probabilites et Modeles Aleatoires, Universite Paris-Diderot,Gabor Lugosi, ICREA Research Professor, Pompeu Fabra University,Pascal Massart, Laboratoire de Mathematiques, Universite Paris Sud and Institut Universitaire de France

Stephane Boucheron is a Professor in the Applied Mathematics and Statistics Department at Universite Paris-Diderot, France. 

Gabor Lugosi is ICREA Research Professor in the Department of Economics at the Pompeu Fabra University in Barcelona, Spain.

Pascal Massart is a Professor in the Department of Mathematics at Universite de Paris-Sud, France. 


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集中不等式 与独立学习相关的非渐进理论 英文原版 Concentration Inequalities 英文版 进口英语书籍

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