Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few

The purpose of this book is to provide an overview of historical and recent results on concentration inequalities for sums of independent random variables and f

Concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also tur

Concentration of Measure Inequalities in Information Theory, Communications, and Coding focuses on some of the key modern mathematical tools that are used for t

Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. It is therefore desirable to have tools for studying rando