The sparsity and bias of the Lasso selection in high-dimensional linear regression

7 August 2008

Papers citing "The sparsity and bias of the Lasso selection in high-dimensional linear regression"

41 / 241 papers shown

Title
Exponential Screening and optimal rates of sparse estimation Philippe Rigollet Alexandre B. Tsybakov 56 241 0 12 Mar 2010
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 102 59 0 05 Mar 2010
$Estimation for High-Dimensional Linear Mixed-Effects Models Using $\ell_1$-Penalization$ Estimation for High-Dimensional Linear Mixed-Effects Models Using $\ell_1$ -Penalization Jürg Schelldorfer Peter Buhlmann S. De Geer 43 173 0 19 Feb 2010
Thresholded Lasso for high dimensional variable selection and statistical estimation Shuheng Zhou 110 50 0 08 Feb 2010
The adaptive and the thresholded Lasso for potentially misspecified models Sara van de Geer Peter Buhlmann Shuheng Zhou 116 3 0 28 Jan 2010
Least squares after model selection in high-dimensional sparse models A. Belloni Victor Chernozhukov 111 220 0 31 Dec 2009
An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors Yiyuan She 82 0 0 29 Nov 2009
$Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls$ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$ -balls Garvesh Raskutti Martin J. Wainwright Bin Yu 48 572 0 11 Oct 2009
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) Jianqing Fan Jinchi Lv 101 905 0 06 Oct 2009
Non-Concave Penalized Likelihood with NP-Dimensionality Jianqing Fan Jinchi Lv 74 401 0 06 Oct 2009
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 72 728 0 05 Oct 2009
Some sharp performance bounds for least squares regression with $L_1$ regularization Tong Zhang 92 267 0 20 Aug 2009
Adaptive Dantzig density estimation Karine Bertin E. L. Pennec Vincent Rivoirard 114 45 0 06 May 2009
L1-Penalized Quantile Regression in High-Dimensional Sparse Models A. Belloni Victor Chernozhukov 88 455 0 19 Apr 2009
SCAD-penalized regression in high-dimensional partially linear models Huiliang Xie Jian Huang 78 200 0 31 Mar 2009
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo A. Dalalyan Alexandre B. Tsybakov 99 178 0 06 Mar 2009
Model-Consistent Sparse Estimation through the Bootstrap Francis R. Bach 60 32 0 21 Jan 2009
SPADES and mixture models F. Bunea Alexandre B. Tsybakov M. Wegkamp Adrian Barbu 92 63 0 14 Jan 2009
Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage Yiyuan She 64 156 0 30 Dec 2008
Ultrahigh dimensional variable selection: beyond the linear model Jianqing Fan Richard Samworth Yichao Wu 51 52 0 17 Dec 2008
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 86 166 0 15 Dec 2008
High-dimensional stochastic optimization with the generalized Dantzig estimator Karim Lounici 84 5 0 14 Nov 2008
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 69 439 0 13 Nov 2008
Some Two-Step Procedures for Variable Selection in High-Dimensional Linear Regression Jian Zhang Xinge Jessie Jeng Han Liu 83 12 0 09 Oct 2008
High-dimensional Gaussian model selection on a Gaussian design Nicolas Verzélen 55 15 0 15 Aug 2008
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models H. Zou Runze Li 92 1,223 0 07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood models Cun-Hui Zhang 69 61 0 07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black Cat? X. Meng 96 6 0 07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood models Peter Buhlmann L. Meier 93 39 0 07 Aug 2008
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 184 482 0 25 Jun 2008
Lasso-type recovery of sparse representations for high-dimensional data N. Meinshausen Bin Yu 84 876 0 01 Jun 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008
Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$ B. Efron Trevor Hastie Robert Tibshirani 146 90 0 21 Mar 2008
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity A. Dalalyan Alexandre B. Tsybakov 97 176 0 19 Mar 2008
Regularization with the Smooth-Lasso procedure Mohamed Hebiri 70 25 0 05 Mar 2008
$Least angle and $\ell_1$ penalized regression: A review$ Least angle and $\ell_1$ penalized regression: A review Tim Hesterberg Nam-Hee Choi L. Meier C. Fraley 121 299 0 07 Feb 2008
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators Karim Lounici 136 239 0 30 Jan 2008
Hierarchical selection of variables in sparse high-dimensional regression Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 149 38 0 08 Jan 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 105 2,515 0 07 Jan 2008
$Smoothing $\ell_1$-penalized estimators for high-dimensional time-course data$ Smoothing $\ell_1$ -penalized estimators for high-dimensional time-course data L. Meier Peter Buhlmann AI4TS 82 25 0 11 Dec 2007
Goodness-of-fit Tests for high-dimensional Gaussian linear models Nicolas Verzélen Fanny Villers 98 34 0 14 Nov 2007