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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Bühlmann, Peter (Συγγραφέας), Geer, S. A. van de (Sara A.) (Συγγραφέας)
Μορφή:	Electronic Resource
Γλώσσα:	English
Έκδοση:	Heidelberg, Germany Springer Berlin 2011
Σειρά:	Springer series in statistic
Θέματα:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Διαθέσιμο Online:	Available for UP System via Springer Link.