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Synopsis
An accessible account of the rich theory surrounding concentration inequalities in probability theory
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About the Author
Stéphane Boucheron is a Professor in the Applied Mathematics and Statistics Department at Université Paris-Diderot, France.
; Gábor 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 Université de Paris-Sud, France.
"About this title" may belong to another edition of this title.
- PublisherOxford University Press
- Publication date2016
- ISBN 10 019876765X
- ISBN 13 9780198767657
- BindingPaperback
- LanguageEnglish
- Number of pages492
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Concentration Inequalities : A Nonasymptotic Theory of Independence
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Oxford University Press, 2016
ISBN 10: 019876765X
ISBN 13: 9780198767657
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Concentration Inequalities: A Nonasymptotic Theory of Independence
Published by
Oxford University Press (edition ), 2016
ISBN 10: 019876765X
ISBN 13: 9780198767657
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Concentration Inequalities: A Nonasymptotic Theory of Independence (eng)
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Concentration Inequalities: A Nonasymptotic Theory of Independence
Published by
Oxford University Press, 2016
ISBN 10: 019876765X
ISBN 13: 9780198767657
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Concentration Inequalities: A Nonasymptotic Theory of Independence
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Concentration Inequalities: A Nonasymptotic Theory of Independence
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Concentration Inequalities
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Seller Inventory # 594413957
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