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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Bühlmann, Peter (VerfasserIn), Geer, S. A. van de (Sara A.) (VerfasserIn)
Format:	Electronic Resource
Sprache:	English
Veröffentlicht:	Heidelberg, Germany Springer Berlin 2011
Schriftenreihe:	Springer series in statistic
Schlagworte:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Online Zugang:	Available for UP System via Springer Link.