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Adaptive Lasso for High Dimensional Regression and Gaussian Graphical
  Modeling

Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling

13 March 2009
Shuheng Zhou
Sara van de Geer
Peter Buhlmann
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Papers citing "Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling"

6 / 6 papers shown
Title
Support estimation in high-dimensional heteroscedastic mean regression
Support estimation in high-dimensional heteroscedastic mean regression
P. Hermann
H. Holzmann
71
0
0
03 Nov 2020
The Dantzig selector and sparsity oracle inequalities
The Dantzig selector and sparsity oracle inequalities
V. Koltchinskii
185
133
0
04 Sep 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
200
874
0
21 Nov 2008
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
222
1,233
0
07 Aug 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
437
755
0
04 Apr 2008
High-dimensional variable selection
High-dimensional variable selection
Larry Wasserman
Kathryn Roeder
337
579
0
09 Apr 2007
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