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Covariance regularization by thresholding

Covariance regularization by thresholding

20 January 2009
Peter J. Bickel
Elizaveta Levina
ArXivPDFHTML

Papers citing "Covariance regularization by thresholding"

14 / 114 papers shown
Title
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
49
182
0
12 Jan 2012
Group Symmetry and Covariance Regularization
Group Symmetry and Covariance Regularization
P. Shah
V. Chandrasekaran
50
27
0
30 Nov 2011
New Methods for Handling Singular Sample Covariance Matrices
New Methods for Handling Singular Sample Covariance Matrices
G. Tucci
Ke Wang
46
5
0
01 Nov 2011
The Masked Sample Covariance Estimator: An Analysis via Matrix
  Concentration Inequalities
The Masked Sample Covariance Estimator: An Analysis via Matrix Concentration Inequalities
Richard Y. Chen
Alex Gittens
J. Tropp
55
70
0
08 Sep 2011
High-Dimensional Gaussian Graphical Model Selection: Walk Summability
  and Local Separation Criterion
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
Anima Anandkumar
Vincent Y. F. Tan
A. Willsky
53
90
0
06 Jul 2011
Regression on manifolds: Estimation of the exterior derivative
Regression on manifolds: Estimation of the exterior derivative
A. Aswani
Peter J. Bickel
Claire Tomlin
54
70
0
08 Mar 2011
Optimal rates of convergence for covariance matrix estimation
Optimal rates of convergence for covariance matrix estimation
Tommaso Cai
Cun-Hui Zhang
Harrison H. Zhou
74
472
0
19 Oct 2010
Group Lasso estimation of high-dimensional covariance matrices
Group Lasso estimation of high-dimensional covariance matrices
Jérémie Bigot
R. Biscay
Jean-Michel Loubes
Lilian Muñiz Alvarez
95
14
0
08 Oct 2010
Approximating the inverse of banded matrices by banded matrices with
  applications to probability and statistics
Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics
Peter J. Bickel
M. Lindner
55
35
0
24 Feb 2010
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
79
566
0
27 Dec 2009
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields
Mladen Kolar
Eric P. Xing
99
23
0
14 Jul 2009
Covariance estimation in decomposable Gaussian graphical models
Covariance estimation in decomposable Gaussian graphical models
A. Wiesel
Yonina C. Eldar
Alfred Hero
81
49
0
06 Mar 2009
Operator norm consistent estimation of large-dimensional sparse
  covariance matrices
Operator norm consistent estimation of large-dimensional sparse covariance matrices
N. Karoui
57
396
0
21 Jan 2009
High-dimensional covariance estimation by minimizing $\ell_1$-penalized
  log-determinant divergence
High-dimensional covariance estimation by minimizing ℓ1\ell_1ℓ1​-penalized log-determinant divergence
Pradeep Ravikumar
Martin J. Wainwright
Garvesh Raskutti
Bin Yu
115
869
0
21 Nov 2008
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