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Statistics for High Dimensional Data Methods Theory and Applications 1st edition by Peter Bühlmann, Sara van de Geer ISBN 3642201911 978-3642201912

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Statistics for High Dimensional Data Methods Theory and Applications 1st edition by Peter Bühlmann, Sara van de Geer  – Ebook PDF Instant Download/Delivery: 3642201911 , 978-3642201912
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Product details:

ISBN 10: 3642201911
ISBN 13: 978-3642201912
Author: Peter Bühlmann, Sara van de Geer 

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.
A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.

Statistics for High Dimensional Data Methods Theory and Applications 1st Table of contents:

Chapter1 : Introduction

Chapter 2: Content

Chapter 3: Conclusion 

Chapter 4: Appendices

Chapter 5: Glossary

Chapter 6: References 

Chapter 7: Index

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Tags: Peter Bühlmann, Sara van de Geer, High Dimensional, Methods Theory