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Estimating High-dimensional Covariance and Precision Matrices under
  General Missing Dependence
v1v2v3 (latest)

Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence

8 June 2020
Seongoh Park
Xinlei Wang
Johan Lim
ArXiv (abs)PDFHTML

Papers citing "Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence"

8 / 8 papers shown
Title
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
David X. Wu
A. Sahai
57
3
0
23 Jun 2023
Minimax Rate-optimal Estimation of High-dimensional Covariance Matrices
  with Incomplete Data
Minimax Rate-optimal Estimation of High-dimensional Covariance Matrices with Incomplete Data
T. Tony Cai
Anru R. Zhang
57
37
0
14 May 2016
Multivariate Bernoulli distribution
Multivariate Bernoulli distribution
Bin Dai
Shilin Ding
G. Wahba
89
161
0
08 Jun 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models
High Dimensional Semiparametric Gaussian Copula Graphical Models
Han Liu
Fang Han
M. Yuan
John D. Lafferty
Larry A. Wasserman
91
407
0
10 Feb 2012
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
181
183
0
12 Jan 2012
Covariance regularization by thresholding
Covariance regularization by thresholding
Peter J. Bickel
Elizaveta Levina
204
1,272
0
20 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
247
872
0
21 Nov 2008
Regularized estimation of large covariance matrices
Regularized estimation of large covariance matrices
Peter J. Bickel
Elizaveta Levina
383
1,385
0
13 Mar 2008
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