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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 ide...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Boucheron, Stéphane (Autor), Lugosi, Gábor (Autor), Massart, Pascal (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford : Oxford University Press, 2013.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (480 pages) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9780199535255
0199535256
9781299160057
1299160050
9780191655500
0191655503
0191747106
9780191747106