Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics) : Methods, Theory and Applications

Language: English

Published by Springer Berlin Heidelberg, 2013

3642268579 / 9783642268571

Series: Book 123 of 160 - Springer Series in Statistics

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - 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.

Seller Inventory # INF1000548145

Title
Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics) : Methods, Theory and Applications
Author
Peter Bühlmann, Sara van de Geer
Publisher
Springer Berlin Heidelberg
Publication year
2013
Condition
Sehr gut
Binding
Taschenbuch
Language
English
ISBN 10
3642268579
ISBN 13
9783642268571
Item weight
861 grams
Dimensions
235x155x30 mm
Series
Book 123 of 160: Springer Series in Statistics

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 73.80US$ 85.27
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