Concentration Inequalities: A Nonasymptotic Theory Of Independence
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| Google books | books.google.com |
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| Originally published | 2013 |
| Authors | Gábor Lugosi |
| Pascal Massart | |
| Stéphane Boucheron | |
| Date of Reg. | |
| Date of Upd. | |
| ID | 2024511 |
About 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, statistics, discrete mathematics, and high-dimensional geometry. . . .