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, including the Lasso and versions of it for various models, boosting methods, undirected graphical mo...

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Bibliographic Details

Main Authors:	Bühlmann, Peter (Author), Geer, S. A. van de (Author)
Format:	Electronic Resource
Language:	English
Published:	Heidelberg, Germany Springer Berlin 2011
Series:	Springer series in statistic
Subjects:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Online Access:	Available for UP System via Springer Link.