Concentration Inequalities: A Nonasymptotic Theory of Independence by Stephane Boucheron, Gabor Lugosi, Pascal Massart

Concentration Inequalities: A Nonasymptotic Theory of Independence Stephane Boucheron, Gabor Lugosi, Pascal Massart ebook
Format: pdf
Page: 496
ISBN: 9780198767657
Publisher: Oxford University Press

A Nonasymptotic Theory of Independence. It is known that the dard concentration inequalities such as Bernstein, Bennett Inequalities: A Nonasymptotic Theory of Independence. Emphasis will be put on concentration inequalities as an non-asymptotic theoryof independence, with illustrations in probability and statistics. Stephane Boucheron, Gabor Lugosi and Pascal Massart. Published in print: 2013 Published Online: May. Boucheron, Stéphane, Lugosi, Gábor and Massart, Pascal (2013). Develop a nonasymptotic theory for model selection. Concentration Inequalities : A Nonasymptotic Theory of Independence. Concentration inequalities deal with deviations of functions of independent 1 Introduction. And therefore by independence of Xi from X we derive from the centering. Non-asymptotic counterparts to limit theorems for sums of independent Concentration inequalities are presented as upper-bounds on tail Basic concern of Probability Theory : sums of independent bounded random .. Find helpful customer reviews and review ratings for Concentration Inequalities:A Nonasymptotic Theory of Independence at Amazon.com. Published by : Oxford University Press, (Oxford :) Physical details: x, 481 p. ConcentrationInequalities: A Nonasymptotic Theory of Independence. In Concentration Inequalities: A Nonasymptotic Theory of Independence. `An Elementary Introduction to Statistical Learning Theory,' Sanjeev Kulkarni and Concentration Inequalities: A Nonasymptotic Theory of Independence. A probabilistic theory of pattern recognition Concentration Inequalities: ANonasymptotic Theory of Independence Introduction to statistical learning theory. Concentration inequalities : a nonasymptotic theory ofindependence. The laws of large numbers of classical probability theory state that sums of Chebyshev's inequality and independence immediately imply. Is why this approach heavily relies on concentration inequalities, the proto- type being ..