Concentration Inequalities - Boucheron Stephane
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…
Specifikacia Concentration Inequalities - Boucheron Stephane
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
Inequalities
Stephane Grappelli
Imperial Inequalities
Concentration Exercises
STEPHANE COURTOIS - Lenin
Stéphane Mallarmé - Pages
Minions Lapuss Stephane
Stillness and Concentration