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High-dimensional Mixed Graphical Models
v1v2v3 (latest)

High-dimensional Mixed Graphical Models

9 April 2013
Jie Cheng
Tianxi Li
Elizaveta Levina
Ji Zhu
ArXiv (abs)PDFHTML

Papers citing "High-dimensional Mixed Graphical Models"

14 / 14 papers shown
Title
Regularized rank-based estimation of high-dimensional nonparanormal
  graphical models
Regularized rank-based estimation of high-dimensional nonparanormal graphical models
Lingzhou Xue
H. Zou
122
263
0
13 Feb 2013
Nonconcave penalized composite conditional likelihood estimation of
  sparse Ising models
Nonconcave penalized composite conditional likelihood estimation of sparse Ising models
Lingzhou Xue
H. Zou
Tianxi Cai
106
88
0
17 Aug 2012
The Nonparanormal SKEPTIC
The Nonparanormal SKEPTIC
Han Liu
Fang Han
M. Yuan
John D. Lafferty
Larry A. Wasserman
556
197
0
27 Jun 2012
Learning Mixed Graphical Models
Learning Mixed Graphical Models
Jason D. Lee
Trevor Hastie
84
23
0
22 May 2012
Stable Graphical Model Estimation with Random Forests for Discrete,
  Continuous, and Mixed Variables
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 ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
277
956
0
02 Oct 2010
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
278
733
0
05 Oct 2009
The composite absolute penalties family for grouped and hierarchical
  variable selection
The composite absolute penalties family for grouped and hierarchical variable selection
P. Zhao
Guilherme V. Rocha
Bin Yu
239
673
0
02 Sep 2009
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
217
607
0
22 Apr 2009
The Nonparanormal: Semiparametric Estimation of High Dimensional
  Undirected Graphs
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu
John D. Lafferty
Larry A. Wasserman
143
764
0
03 Mar 2009
A path following algorithm for Sparse Pseudo-Likelihood Inverse
  Covariance Estimation (SPLICE)
A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE)
Guilherme V. Rocha
P. Zhao
Bin Yu
116
67
0
23 Jul 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
629
756
0
04 Apr 2008
Sparse permutation invariant covariance estimation
Sparse permutation invariant covariance estimation
Adam J. Rothman
Peter J. Bickel
Elizaveta Levina
Ji Zhu
601
906
0
31 Jan 2008
Sparsistency and rates of convergence in large covariance matrix
  estimation
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
233
610
0
26 Nov 2007
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