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
ISBN: 9780198767657
Publisher: Oxford University Press
Page: 496

A Nonasymptotic Theory of Independence. A probabilistic theory of pattern recognition Concentration Inequalities: ANonasymptotic Theory of Independence Introduction to statistical learning theory. E-raamat: Concentration Inequalities: A Nonasymptotic Theory of Independence - Stephane Boucheron, Gabor Lugosi, Pascal Massart. In Concentration Inequalities: A Nonasymptotic Theory of Independence. Amazon.in - Buy Concentration Inequalities: A Nonasymptotic Theory ofIndependence book online at best prices in India on Amazon.in. Concentration Inequalities: A Nonasymptotic Theory of Independence (eBook). Concentration 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. Published in print: 2013 Published Online: May. Concentration Inequalities: A Nonasymptotic Theory of Independence eBook: Stéphane Boucheron, Gábor Lugosi, Pascal Massart: Amazon.in: Kindle Store. Concentration Inequalities: A Nonasymptotic Theory of Independence by Stephane Boucheron, Gabor Lugosi, Pascal Massart starting at $46.24. Retrouvez Concentration Inequalities: A Nonasymptotic Theory of Independence et des millions de livres en stock sur Amazon.fr. In probability theory, Talagrand's concentration inequality is an isoperimetric-type Concentration Inequalities: A Nonasymptotic Theory of Independence. This volume provides an overview of a non asymptotic theory for model selection. Stephane Boucheron, Gabor Lugosi and Pascal Massart. Pascal Massart, Gabor Lugosi, et al.