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Concentration Inequalities: A Nonasymptotic Theory of Independence Hardcover – March 22, 2013

ISBN-13: 978-0199535255 ISBN-10: 0199535256

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Product Details

  • Hardcover: 496 pages
  • Publisher: Oxford University Press (March 22, 2013)
  • Language: English
  • ISBN-10: 0199535256
  • ISBN-13: 978-0199535255
  • Product Dimensions: 9.3 x 1.3 x 6.4 inches
  • Shipping Weight: 2.3 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #389,937 in Books (See Top 100 in Books)

Editorial Reviews

Review

The clear exposition from basic material up to recent sophisticated results and lucid writing style make the text a pleasure to read. Beginners as well as experienced scientists will prot equally from it. It will certainly become one of the standard references in the field. Hilmar Mai, Zentralblatt Math

About the Author


Stephane 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.

Customer Reviews

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Most Helpful Customer Reviews

3 of 4 people found the following review helpful By Yuval Peres on October 20, 2014
Format: Hardcover
This is a truly wonderful book, that manages to convey the richness of concentration inequalities while maintaining
clarity and focus. Connections to entropy, influences, convex geometry and isoperimetric inequalities are highlighted.
The book should be useful for novices as well as seasoned experts. A remarkable achievement.
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3 of 6 people found the following review helpful By A. Dasgupta on November 30, 2013
Format: Hardcover Verified Purchase
This book is a gem. In its breadth of coverage, in providing context
and intuition, in writing accessible proofs, in explaining room for
improvement, in supplying charming exercises, and in delivering the joy of the unique subject called 'mathematics', it stands head and shoulders
above most books I have ever read.
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5 of 11 people found the following review helpful By Tolstikhin Ilya on July 18, 2013
Format: Hardcover Verified Purchase
This book will be definitely interesting for anyone in computer science, dealing with probability and statistics. It covers a huge work in the area of concentration inequalities and describes in a friendly way most of the results, which were previously scattered among different papers. Very useful! And nicely written!
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1 of 8 people found the following review helpful By yongli zhang on September 17, 2013
Format: Hardcover Verified Purchase
Concentration inequalities are a powerful tool in many machine learning topics.

I strongly recommend this book to anyone who wants to do some research on machine learning.
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