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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Bibliografiska uppgifter

Huvudupphovsmän:	Bühlmann, Peter (Författare, medförfattare), Geer, S. A. van de (Sara A.) (Författare, medförfattare)
Materialtyp:	Electronic Resource
Språk:	English
Publicerad:	Heidelberg, Germany Springer Berlin 2011
Serie:	Springer series in statistic
Ämnen:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Länkar:	Available for UP System via Springer Link.