Nearly unbiased variable selection under minimax concave penalty

25 February 2010

Papers citing "Nearly unbiased variable selection under minimax concave penalty"

39 / 689 papers shown

Title
A Selective Review of Group Selection in High-Dimensional Models Jian Huang P. Breheny Shuangge Ma 69 374 0 29 Apr 2012
Optimality of Graphlet Screening in High Dimensional Variable Selection Jiashun Jin Cun-Hui Zhang Qi Zhang 44 45 0 29 Apr 2012
Endogeneity in high dimensions Jianqing Fan Yuan Liao 83 102 0 25 Apr 2012
Regularized Matrix Regression Hua Zhou Lexin Li 41 195 0 15 Apr 2012
Optimal Estimation and Prediction for Dense Signals in High-Dimensional Linear Models Lee H. Dicker 32 8 0 20 Mar 2012
Selection of tuning parameters in bridge regression models via Bayesian information criterion Shuichi Kawano 41 18 0 20 Mar 2012
Multiple testing of local maxima for detection of peaks in 1D Armin Schwartzman Yulia Gavrilov R. Adler 33 60 0 14 Mar 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 63 166 0 13 Feb 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 96 228 0 07 Feb 2012
Path Following and Empirical Bayes Model Selection for Sparse Regression Hua Zhou Artin Armagan David B. Dunson 44 13 0 17 Jan 2012
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications Jian Huang Cun-Hui Zhang 56 61 0 29 Dec 2011
The sparse Laplacian shrinkage estimator for high-dimensional regression Jian Huang Shuangge Ma Hongzhe Li Cun-Hui Zhang 43 104 0 15 Dec 2011
Estimation and inference for high-dimensional non-sparse models Lu Lin Lixing Zhu Yujie Gai 105 1 0 04 Dec 2011
The degrees of freedom of the Lasso for general design matrix C. Dossal M. Kachour Jalal Fadili Gabriel Peyré C. Chesneau 82 35 0 04 Nov 2011
High-dimensional regression with unknown variance Christophe Giraud S. Huet Nicolas Verzélen 49 62 0 26 Sep 2011
Efficient algorithm to select tuning parameters in sparse regression modeling with regularization K. Hirose Shohei Tateishi S. Konishi 52 11 0 12 Sep 2011
Sparse Estimation by Exponential Weighting Philippe Rigollet Alexandre B. Tsybakov 80 121 0 25 Aug 2011
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems Cun-Hui Zhang Tong Zhang 57 336 0 25 Aug 2011
$Adaptive Minimax Estimation over Sparse $\ell_q$-Hulls$ Adaptive Minimax Estimation over Sparse $\ell_q$ -Hulls Zhan Wang S. Paterlini Frank Gao Yuhong Yang 63 14 0 09 Aug 2011
Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces S. Luo Zehua Chen 37 46 0 13 Jul 2011
Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression Models B. M. Potscher U. Schneider 78 12 0 29 Jun 2011
Tight conditions for consistency of variable selection in the context of high dimensionality L. Comminges A. Dalalyan 53 66 0 21 Jun 2011
Multi-stage Convex Relaxation for Feature Selection Tong Zhang 55 112 0 03 Jun 2011
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 47 503 0 24 Apr 2011
Tight conditions for consistent variable selection in high dimensional nonparametric regression L. Comminges A. Dalalyan 74 15 0 17 Feb 2011
Dense Signals, Linear Estimators, and Out-of-Sample Prediction for High-Dimensional Linear Models Lee H. Dicker 26 7 0 15 Feb 2011
A ROAD to Classification in High Dimensional Space Jianqing Fan Yang Feng X. Tong 63 193 0 28 Nov 2010
Variable selection in nonparametric additive models Jian Huang J. Horowitz Fengrong Wei 111 547 0 20 Oct 2010
A majorization-minimization approach to variable selection using spike and slab priors Tso-Jung Yen 91 53 0 06 May 2010
Exponential Screening and optimal rates of sparse estimation Philippe Rigollet Alexandre B. Tsybakov 70 241 0 12 Mar 2010
Thresholded Lasso for high dimensional variable selection and statistical estimation Shuheng Zhou 112 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
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models Jianqing Fan Yang Feng Rui Song 71 574 0 14 Dec 2009
An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors Yiyuan She 87 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 58 573 0 11 Oct 2009
Non-Concave Penalized Likelihood with NP-Dimensionality Jianqing Fan Jinchi Lv 74 401 0 06 Oct 2009
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo A. Dalalyan Alexandre B. Tsybakov 115 178 0 06 Mar 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 194 749 0 04 Apr 2008
Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$ B. Efron Trevor Hastie Robert Tibshirani 157 90 0 21 Mar 2008