Concentration Inequalities: A Nonasymptotic Theory of Independence
Concentration Inequalities: A Nonasymptotic Theory of Independence
An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the state-of-the-art in the area, making it ideal for independent learning and as a reference.
PRP: 520.28 Lei
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468.25Lei
468.25Lei
520.28 LeiPrimesti 468 puncte
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An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the state-of-the-art in the area, making it ideal for independent learning and as a reference.
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