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Statistics for High-Dimensional Data: Methods, Theory and Applications by Peter Buhlmann, Sara van de Geer (Hardcover, 2011)

About this product

About this product

Product Information

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.

Product Identifiers

Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783642201912
eBay Product ID (ePID)
178343789

Product Key Features

Author
Peter Buhlmann, Sara Van De Geer
Publication Name
Statistics for High-Dimensional Data: Methods, Theory and Applications
Format
Hardcover
Language
English
Subject
Computer Science, Mathematics
Publication Year
2011
Type
Textbook
Number of Pages
558 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
1021g

Additional Product Features

Title_Author
Peter Buhlmann, Sara Van De Geer
Series Title
Springer Series in Statistics
Country/Region of Manufacture
Germany

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