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Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models

Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

7 August 2008
H. Zou
Runze Li
ArXivPDFHTML

Papers citing "Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models"

16 / 216 papers shown
Title
Non-Concave Penalized Likelihood with NP-Dimensionality
Non-Concave Penalized Likelihood with NP-Dimensionality
Jianqing Fan
Jinchi Lv
74
401
0
06 Oct 2009
Structured Sparse Principal Component Analysis
Structured Sparse Principal Component Analysis
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
100
352
0
08 Sep 2009
Tuning parameter selection for penalized likelihood estimation of
  inverse covariance matrix
Tuning parameter selection for penalized likelihood estimation of inverse covariance matrix
Xin Gao
Daniel Q. Pu
Yuehua Wu
Hong Xu
63
11
0
04 Sep 2009
A unified approach to model selection and sparse recovery using
  regularized least squares
A unified approach to model selection and sparse recovery using regularized least squares
Jinchi Lv
Yingying Fan
65
357
0
21 May 2009
Sure independence screening in generalized linear models with
  NP-dimensionality
Sure independence screening in generalized linear models with NP-dimensionality
Jianqing Fan
Rui Song
65
633
0
30 Mar 2009
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical
  Modeling
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
Shuheng Zhou
Sara van de Geer
Peter Buhlmann
85
80
0
13 Mar 2009
Estimating time-varying networks
Estimating time-varying networks
Mladen Kolar
Le Song
Amr Ahmed
Eric P. Xing
AI4TS
78
309
0
30 Dec 2008
Thresholding-based Iterative Selection Procedures for Model Selection
  and Shrinkage
Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage
Yiyuan She
69
156
0
30 Dec 2008
Ultrahigh dimensional variable selection: beyond the linear model
Ultrahigh dimensional variable selection: beyond the linear model
Jianqing Fan
Richard Samworth
Yichao Wu
56
52
0
17 Dec 2008
Some Two-Step Procedures for Variable Selection in High-Dimensional
  Linear Regression
Some Two-Step Procedures for Variable Selection in High-Dimensional Linear Regression
Jian Zhang
Xinge Jessie Jeng
Han Liu
85
12
0
09 Oct 2008
Estimation of Large Precision Matrices Through Block Penalization
Estimation of Large Precision Matrices Through Block Penalization
Clifford Lam
55
1
0
26 May 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
749
0
04 Apr 2008
Least angle and $\ell_1$ penalized regression: A review
Least angle and ℓ1\ell_1ℓ1​ penalized regression: A review
Tim Hesterberg
Nam-Hee Choi
L. Meier
C. Fraley
123
299
0
07 Feb 2008
Smoothing $\ell_1$-penalized estimators for high-dimensional time-course
  data
Smoothing ℓ1\ell_1ℓ1​-penalized estimators for high-dimensional time-course data
L. Meier
Peter Buhlmann
AI4TS
86
25
0
11 Dec 2007
Sparsistency and rates of convergence in large covariance matrix
  estimation
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
80
606
0
26 Nov 2007
Enhancing Sparsity by Reweighted L1 Minimization
Enhancing Sparsity by Reweighted L1 Minimization
Emmanuel J. Candes
M. Wakin
Stephen P. Boyd
70
5,018
0
10 Nov 2007
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