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.
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Produktdetails
Weitere Autoren: Lugosi, Gabor (ICREA Research Professor, Pompeu Fabra University) / Massart, Pascal (Laboratoire de Mathematiques, Universite Paris Sud and Institut Universitaire de France)
- ISBN: 978-0-19-876765-7
- EAN: 9780198767657
- Produktnummer: 19522044
- Verlag: Oxford University Press
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 496 S.
- Masse: H15.8 cm x B23.3 cm x D2.7 cm 732 g
- Abbildungen: 8 b/w line drawings
- Gewicht: 732
- Sonstiges: Undergraduate
Über den Autor
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.
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