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...

Ful tanımlama

Detaylı Bibliyografya

Asıl Yazarlar:	Bühlmann, Peter (Yazar), Geer, S. A. van de (Sara A.) (Yazar)
Materyal Türü:	Electronic Resource
Dil:	English
Baskı/Yayın Bilgisi:	Heidelberg, Germany Springer Berlin 2011
Seri Bilgileri:	Springer series in statistic
Konular:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Online Erişim:	Available for UP System via Springer Link.