Statistics for high-dimensional data : methods, theory and applications /

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, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, provin...

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Bibliographic Details

Main Author:	Bühlmann, Peter
Other Authors:	Geer, S. A. van de (Sara A.)
Format:	eBook
Language:	English
Published:	Heidelberg ; New York : Springer, [2011]
Series:	Springer series in statistics.
Subjects:	Least absolute deviations (Statistics) Linear models (Statistics) Mathematical statistics. Nonconvex programming. Smoothness of functions. Database management > Quality control. Electronic data processing > Quality control. Mathematics. Electronic books.
Online Access:	Connect to the full text of this electronic book