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: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Oxford
Oxford University Press
2013, 2013
|
| Subjects: | |
| Online Access: | |
| Collection: | Oxford University Press - Collection details see MPG.ReNa |
| 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 |
|---|---|
| Physical Description: | 1 online resource illustrations |
| ISBN: | 9780191747106 |