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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Những tác giả chính:	Bühlmann, Peter (Tác giả), Geer, S. A. van de (Sara A.) (Tác giả)
Định dạng:	Electronic Resource
Ngôn ngữ:	English
Được phát hành:	Heidelberg, Germany Springer Berlin 2011
Loạt:	Springer series in statistic
Những chủ đề:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Truy cập trực tuyến:	Available for UP System via Springer Link.