Concentration inequalities :: a nonasymptotic theory of independence /

An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the state-of-the-art in the area making it ide...

Full description

Saved in:
Bibliographic Details
Main Authors: Boucheron, Stéphane (Author), Lugosi, Gábor (Author), Massart, Pascal (Author)
Format: Electronic eBook
Language:English
Published: Oxford : Oxford University Press, 2013.
Subjects:
Online Access:DE-862
DE-863
Summary:An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the state-of-the-art in the area making it ideal for independent learning and as a reference.
Physical Description:1 online resource (480 pages) : illustrations
Bibliography:Includes bibliographical references.
ISBN:9780199535255
0199535256
9781299160057
1299160050
9780191655500
0191655503
0191747106
9780191747106

There is no print copy available.

Get full text