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...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Oxford :
Oxford University Press,
2013.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Physical Description: | 1 online resource (480 pages) : illustrations |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780199535255 0199535256 9781299160057 1299160050 9780191655500 0191655503 0191747106 9780191747106 |