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- DescriptionConcentration 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 t 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 phemena 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.
- Author BiographyStephane 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.
- Author(s)Gabor Lugosi,Pascal Massart,Stephane Boucheron
- PublisherOxford University Press
- Date of Publication28/01/2016
- SubjectScience & Mathematics: Textbooks & Study Guides
- Place of PublicationOxford
- Country of PublicationUnited Kingdom
- ImprintOxford University Press
- Content Note8 b/w line drawings
- Weight732 g
- Width155 mm
- Height233 mm
- Spine26 mm
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