Correlated variables in regression: clustering and sparse estimation

26 September 2012

Papers citing "Correlated variables in regression: clustering and sparse estimation"

9 / 9 papers shown

Title
The sparse Laplacian shrinkage estimator for high-dimensional regression Jian Huang Shuangge Ma Hongzhe Li Cun-Hui Zhang 97 104 0 15 Dec 2011
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 185 507 0 24 Apr 2011
A note on the group lasso and a sparse group lasso J. Friedman Trevor Hastie Robert Tibshirani 221 841 0 05 Jan 2010
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 275 732 0 05 Oct 2009
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models H. Zou Runze Li 294 1,234 0 07 Aug 2008
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 469 869 0 07 Aug 2008
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 353 481 0 25 Jun 2008
Lasso-type recovery of sparse representations for high-dimensional data N. Meinshausen Bin Yu 475 882 0 01 Jun 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 535 2,530 0 07 Jan 2008