Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

7 August 2008

Papers citing "Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models"

50 / 216 papers shown

Title
Gemini: Graph estimation with matrix variate normal instances Shuheng Zhou 64 105 0 23 Sep 2012
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors P. Breheny Jian Huang 100 280 0 10 Sep 2012
Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data Xin Gao G. Yi 40 1 0 21 Aug 2012
Composite likelihood estimation of sparse Gaussian graphical models with symmetry Xin Gao H. Massam 44 0 0 21 Aug 2012
Nonconcave penalized composite conditional likelihood estimation of sparse Ising models Lingzhou Xue H. Zou Tianxi Cai 60 87 0 17 Aug 2012
Sparse estimation via nonconcave penalized likelihood in a factor analysis model K. Hirose Michio Yamamoto 43 81 0 26 May 2012
Adaptive robust variable selection Jianqing Fan Yingying Fan Emre Barut 93 200 0 22 May 2012
Variance function estimation in high-dimensions Mladen Kolar James Sharpnack 38 12 0 21 May 2012
A Selective Review of Group Selection in High-Dimensional Models Jian Huang P. Breheny Shuangge Ma 63 374 0 29 Apr 2012
Endogeneity in high dimensions Jianqing Fan Yuan Liao 71 103 0 25 Apr 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning Zhihua Zhang Shusen Wang Dehua Liu Michael I. Jordan 28 56 0 19 Apr 2012
Selection of tuning parameters in bridge regression models via Bayesian information criterion Shuichi Kawano 33 18 0 20 Mar 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 91 228 0 07 Feb 2012
Path Following and Empirical Bayes Model Selection for Sparse Regression Hua Zhou Artin Armagan David B. Dunson 39 13 0 17 Jan 2012
Alternating Linearization for Structured Regularization Problems Xiaodong Lin Minh Pham A. Ruszczynski 31 27 0 31 Dec 2011
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications Jian Huang Cun-Hui Zhang 48 61 0 29 Dec 2011
Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes Hailin Sang Yan Sun 71 13 0 12 Dec 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
The Bayesian Bridge Nicholas G. Polson James G. Scott Jesse Windle 44 154 0 11 Sep 2011
Penalized maximum likelihood estimation and variable selection in geostatistics Tingjin Chu Jun Zhu Haonan Wang 21 54 0 01 Sep 2011
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems Cun-Hui Zhang Tong Zhang 55 336 0 25 Aug 2011
OEM for least squares problems Shifeng Xiong Bin Dai Peter Z. G. Qian 46 3 0 31 Jul 2011
Multi-stage Convex Relaxation for Feature Selection Tong Zhang 51 112 0 03 Jun 2011
Independent screening for single-index hazard rate models with ultra-high dimensional features A. Gorst-rasmussen T. Scheike 64 92 0 17 May 2011
Posterior consistency in linear models under shrinkage priors Artin Armagan David B. Dunson Jaeyong Lee W. Bajwa Nate Strawn 31 32 0 20 Apr 2011
Generalized double Pareto shrinkage Artin Armagan David B. Dunson Jaeyong Lee 45 372 0 05 Apr 2011
Data augmentation for non-Gaussian regression models using variance-mean mixtures Nicholas G. Polson James G. Scott 61 45 0 28 Mar 2011
New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models Bo Kai Runze Li H. Zou 69 301 0 08 Mar 2011
Robust rank correlation based screening Gaorong Li Heng Peng Jun Zhang Lixing Zhu 86 322 0 20 Dec 2010
Consistent group selection in high-dimensional linear regression Fengrong Wei Jian Huang 60 145 0 29 Nov 2010
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
Penalized variable selection procedure for Cox models with semiparametric relative risk Pang Du Shuangge Ma Hua Liang 47 53 0 19 Oct 2010
Local shrinkage rules, Levy processes, and regularized regression Nicholas G. Polson James G. Scott 62 127 0 17 Oct 2010
A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors Anthony Lee François Caron Arnaud Doucet Chris Holmes 68 46 0 09 Sep 2010
High-dimensional covariance estimation based on Gaussian graphical models Shuheng Zhou Philipp Rütimann Min Xu Peter Buhlmann 92 91 0 02 Sep 2010
LASSO ISOtone for High Dimensional Additive Isotonic Regression Zhou Fang N. Meinshausen 89 23 0 15 Jun 2010
A simple and efficient algorithm for fused lasso signal approximator with convex loss function Heng Lian 43 9 0 27 May 2010
A majorization-minimization approach to variable selection using spike and slab priors Tso-Jung Yen 86 53 0 06 May 2010
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression Jianqing Fan Shaojun Guo Ning Hao 74 288 0 29 Apr 2010
Universal Regularizers For Robust Sparse Coding and Modeling Ignacio Francisco Ramírez Paulino Guillermo Sapiro 35 43 0 15 Mar 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 77 3,516 0 25 Feb 2010
Variable selection in measurement error models Yanyuan Ma Runze Li 55 66 0 23 Feb 2010
High-dimensional variable selection for Cox's proportional hazards model Jianqing Fan Yang Feng Yichao Wu 68 159 0 17 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
Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection Jelena Bradic Jianqing Fan Weiwei Wang 71 192 0 28 Dec 2009
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models Jianqing Fan Yang Feng Rui Song 68 574 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
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) Jianqing Fan Jinchi Lv 104 905 0 06 Oct 2009