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Concentration Inequalities: A Nonasymptotic Theory of Independence Book

Concentration Inequalities: A Nonasymptotic Theory of Independence
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Concentration Inequalities: A Nonasymptotic Theory of Independence, 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, statist, Concentration Inequalities: A Nonasymptotic Theory of Independence
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  • Concentration Inequalities: A Nonasymptotic Theory of Independence
  • Written by author Stephane Boucheron
  • Published by Oxford University Press, 3/22/2013
  • 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, statist
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Book Categories

Authors

Foreword, Michel Ledoux
1. Introduction
2. Basic inequalities
3. Bounding the variance
4. Basic information inequalities
5. Logarithmic Sobolev inequalities
6. The entropy method
7. Concentration and isoperimetry
8. The transportation method
9. Influences and threshold phenomena
10. Isoperimetry on the hypercube and Gaussian spaces
11. The variance of suprema of empirical processes
12. Suprema of empirical processes: exponential inequalities
13. The expected value of suprema of empirical processes
14. &#934 -entropies
15. Moment inequalities


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Concentration Inequalities: A Nonasymptotic Theory of Independence, 
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, statist, Concentration Inequalities: A Nonasymptotic Theory of Independence

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Concentration Inequalities: A Nonasymptotic Theory of Independence, 
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, statist, Concentration Inequalities: A Nonasymptotic Theory of Independence

Concentration Inequalities: A Nonasymptotic Theory of Independence

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Concentration Inequalities: A Nonasymptotic Theory of Independence, 
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, statist, Concentration Inequalities: A Nonasymptotic Theory of Independence

Concentration Inequalities: A Nonasymptotic Theory of Independence

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