Trevor Hastie, Stanford University, USA, Rob Tibshirani, Stanford University, USA, Martin Wainwright, University of California, Berkeley, USA
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xv, 351 pages :
Other Physical Details
illustrations (some color) ;
Dimensions
25 cm
SERIES
Series Title
Chapman & Hall/CRC monographs on statistics & applied probability ;
Volume Designation
143
GENERAL NOTES
Text of Note
"A Chapman & Hall book."
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and indexes
CONTENTS NOTE
Text of Note
Introduction -- The lasso for linear models -- Generalized linear models -- Generalizations of the lasso penalty -- Optimization methods -- Statistical inference -- Matrix decompositions, approximations, and completion -- Sparse multivariate methods -- Graphs and model selection -- Signal approximation and compressed sensing -- Theoretical results for the lasso