SKOLKOVO Library

SKOLKOVO School of Management

Normal view MARC view ISBD view

Statistics for high-dimensional data : methods, theory and applications / Peter Bühlmann, Sara van de Geer.

By: Bühlmann, Peter.
Contributor(s): Geer, S. A. van de (Sara A.).
Series: Springer series in statistics: Publisher: Heidelberg ; New York : Springer, c2011Description: xvii, 556 p. : ill. (some col.) ; 24 cm.ISBN: 9783642201912 (hdbk. : acidfree paper); 3642201911 (hdbk. : acidfree paper).Subject(s): Mathematical statistics | Smoothness of functions | Nonconvex programming | Least absolute deviations (Statistics) | Linear models (Statistics)Online resources: Full-text here
Contents:
Introduction -- Lasso for linear models -- Generalized linear models and the Lasso -- The group Lasso --Additive models and many smooth univariate functions -- Theory for the Lasso -- Variable selection with the Lasso -- Theory for l₁/l₂-penalty procedures -- Non-convex loss functions and l₁-regulation -- Stable solutions -- P-values for linear models and beyond -- Boosting and greedy algorithms -- Graphical modeling -- Probabililty and moment inequalities.
Tags from this library: No tags from this library for this title.
Item type Current location Call number Status Date due Barcode Item holds
Book Skoltech library
Shelves 		QA276 .B84 2011 (Browse shelf) Available 2000006547
Total holds: 0

Includes bibliographical references (p. 547-556) and indexes.

Introduction -- Lasso for linear models -- Generalized linear models and the Lasso -- The group Lasso --Additive models and many smooth univariate functions -- Theory for the Lasso -- Variable selection with the Lasso -- Theory for l₁/l₂-penalty procedures -- Non-convex loss functions and l₁-regulation -- Stable solutions -- P-values for linear models and beyond -- Boosting and greedy algorithms -- Graphical modeling -- Probabililty and moment inequalities.

There are no comments for this item.

Log in to your account to post a comment.