High Dimensional Semiparametric Latent Graphical Model for Mixed Data

29 April 2014

Papers citing "High Dimensional Semiparametric Latent Graphical Model for Mixed Data"

30 / 30 papers shown

Title
Tuning parameter selection in high dimensional penalized likelihood Yingying Fan C. Tang 75 327 0 11 May 2016
Calibrating nonconvex penalized regression in ultra-high dimension Lan Wang Yongdai Kim Runze Li 140 170 0 20 Nov 2013
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation Cho-Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar 68 343 0 13 Jun 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 103 78 0 09 Apr 2013
Regularized rank-based estimation of high-dimensional nonparanormal graphical models Lingzhou Xue H. Zou 134 263 0 13 Feb 2013
On Graphical Models via Univariate Exponential Family Distributions Eunho Yang Pradeep Ravikumar Genevera I. Allen Zhandong Liu 71 173 0 17 Jan 2013
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses Po-Ling Loh Martin J. Wainwright 86 180 0 03 Dec 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation D. Guillot B. Rajaratnam B. T. Rolfs A. Maleki Ian Wong 94 100 0 12 Nov 2012
Large-Scale Sparse Principal Component Analysis with Application to Text Data Youwei Zhang L. Ghaoui 83 73 0 26 Oct 2012
Strong oracle optimality of folded concave penalized estimation Jianqing Fan Lingzhou Xue H. Zou 563 308 0 22 Oct 2012
Nonconcave penalized composite conditional likelihood estimation of sparse Ising models Lingzhou Xue H. Zou Tianxi Cai 111 88 0 17 Aug 2012
The Nonparanormal SKEPTIC Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 559 198 0 27 Jun 2012
Learning Mixed Graphical Models Jason D. Lee Trevor Hastie 86 23 0 22 May 2012
Optimal detection of sparse principal components in high dimension Quentin Berthet Philippe Rigollet 128 284 0 23 Feb 2012
Augmented sparse principal component analysis for high dimensional data D. Paul Iain M. Johnstone 136 85 0 06 Feb 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions Vincent Q. Vu Jing Lei 153 141 0 03 Feb 2012
Large Covariance Estimation by Thresholding Principal Orthogonal Complements Jianqing Fan Yuan Liao Martina Mincheva 141 855 0 30 Dec 2011
Truncated Power Method for Sparse Eigenvalue Problems Xiao-Tong Yuan Tong Zhang 135 329 0 12 Dec 2011
Sparse principal component analysis and iterative thresholding Zongming Ma 149 333 0 12 Dec 2011
Stable Graphical Model Estimation with Random Forests for Discrete, Continuous, and Mixed Variables Bernd Fellinghauer Peter Buhlmann Martin Ryffel M. Rhein J. Reinhardt 55 85 0 01 Sep 2011
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 282 956 0 02 Oct 2010
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 209 509 0 06 Aug 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 344 3,569 0 25 Feb 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs Han Liu John D. Lafferty Larry A. Wasserman 145 764 0 03 Mar 2009
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 253 873 0 21 Nov 2008
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models H. Zou Runze Li 308 1,234 0 07 Aug 2008
A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE) Guilherme V. Rocha P. Zhao Bin Yu 129 67 0 23 Jul 2008
High-dimensional analysis of semidefinite relaxations for sparse principal components Arash A. Amini Martin J. Wainwright 176 314 0 27 Mar 2008
Sparse permutation invariant covariance estimation Adam J. Rothman Peter J. Bickel Elizaveta Levina Ji Zhu 631 907 0 31 Jan 2008
Sparsistency and rates of convergence in large covariance matrix estimation Clifford Lam Jianqing Fan 244 611 0 26 Nov 2007