Concentration inequalities : a nonasymptotic theory of independence
Stéphane Boucheron (Author), Gábor Lugosi (Author), Pascal Massart (Author)
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
eBook, English, 2013
Oxford University Press, Oxford, 2013