Concentration Inequalities: A Nonasymptotic Theory of Independence photograph

Concentration Inequalities: A Nonasymptotic Theory Of Independence

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Originally published 2013
Authors Gábor Lugosi
Pascal Massart
Stéphane Boucheron
Date of Reg.
Date of Upd.
ID2024511
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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. . . .

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