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Nearly unbiased variable selection under minimax concave penalty

Nearly unbiased variable selection under minimax concave penalty

25 February 2010
Cun-Hui Zhang
ArXivPDFHTML

Papers citing "Nearly unbiased variable selection under minimax concave penalty"

50 / 689 papers shown
Title
Controlling the false discovery rate via knockoffs
Controlling the false discovery rate via knockoffs
Rina Foygel Barber
Emmanuel J. Candès
41
742
0
22 Apr 2014
Face Detection with a 3D Model
Face Detection with a 3D Model
Adrian Barbu
Nathan S. Lay
Gary Gramajo
3DH
3DPC
CVBM
30
5
0
14 Apr 2014
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High
  Dimensions With the TREX
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
Johannes Lederer
Christian L. Müller
36
55
0
02 Apr 2014
Selective Factor Extraction in High Dimensions
Selective Factor Extraction in High Dimensions
Yiyuan She
45
0
0
25 Mar 2014
Strong rules for nonconvex penalties and their implications for
  efficient algorithms in high-dimensional regression
Strong rules for nonconvex penalties and their implications for efficient algorithms in high-dimensional regression
Sangin Lee
P. Breheny
41
12
0
12 Mar 2014
Adaptive Estimation in Two-way Sparse Reduced-rank Regression
Adaptive Estimation in Two-way Sparse Reduced-rank Regression
Zhuang Ma
Zongming Ma
Tingni Sun
45
34
0
08 Mar 2014
Bayesian linear regression with sparse priors
Bayesian linear regression with sparse priors
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
60
374
0
04 Mar 2014
Better Solution Principle: A Facet of Concordance between Optimization
  and Statistics
Better Solution Principle: A Facet of Concordance between Optimization and Statistics
Shifeng Xiong
37
3
0
16 Feb 2014
Schatten-ppp Quasi-Norm Regularized Matrix Optimization via Iterative Reweighted Singular Value Minimization
Zhaosong Lu
Yong Zhang
48
11
0
05 Jan 2014
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Bryon Aragam
Qing Zhou
CML
57
107
0
04 Jan 2014
Feature Augmentation via Nonparametrics and Selection (FANS) in High
  Dimensional Classification
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
Jianqing Fan
Yang Feng
Jiancheng Jiang
X. Tong
63
42
0
31 Dec 2013
Adaptive Threshold Estimation by FDR
Adaptive Threshold Estimation by FDR
Wenhua Jiang
Cun-Hui Zhang
28
2
0
30 Dec 2013
The Bernstein Function: A Unifying Framework of Nonconvex Penalization
  in Sparse Estimation
The Bernstein Function: A Unifying Framework of Nonconvex Penalization in Sparse Estimation
Zhihua Zhang
43
0
0
17 Dec 2013
Semi-Penalized Inference with Direct False Discovery Rate Control in
  High-Dimensions
Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions
Jian Huang
Shuangge Ma
Cun-Hui Zhang
Yong Zhou
65
6
0
29 Nov 2013
Calibrating nonconvex penalized regression in ultra-high dimension
Calibrating nonconvex penalized regression in ultra-high dimension
Lan Wang
Yongdai Kim
Runze Li
70
169
0
20 Nov 2013
Regularized estimation in sparse high-dimensional time series models
Regularized estimation in sparse high-dimensional time series models
Sumanta Basu
George Michailidis
AI4TS
51
422
0
17 Nov 2013
Combined l_1 and greedy l_0 penalized least squares for linear model
  selection
Combined l_1 and greedy l_0 penalized least squares for linear model selection
P. Pokarowski
J. Mielniczuk
50
16
0
22 Oct 2013
Feature Selection with Annealing for Computer Vision and Big Data
  Learning
Feature Selection with Annealing for Computer Vision and Big Data Learning
Adrian Barbu
Yiyuan She
Liangjing Ding
Gary Gramajo
44
102
0
10 Oct 2013
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
Jian Huang
Yuling Jiao
Bangti Jin
Jin Liu
Xiliang Lu
Can Yang
62
0
0
04 Oct 2013
Sparse and Functional Principal Components Analysis
Sparse and Functional Principal Components Analysis
Genevera I. Allen
Michael Weylandt
24
17
0
11 Sep 2013
High dimensional generalized empirical likelihood for moment
  restrictions with dependent data
High dimensional generalized empirical likelihood for moment restrictions with dependent data
Jinyuan Chang
Songxi Chen
Xiaohong Chen
63
52
0
27 Aug 2013
Likelihood Adaptively Modified Penalties
Likelihood Adaptively Modified Penalties
Yang Feng
Tengfei Li
Z. Ying
37
5
0
23 Aug 2013
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
74
1,278
0
07 Aug 2013
Kinetic Energy Plus Penalty Functions for Sparse Estimation
Kinetic Energy Plus Penalty Functions for Sparse Estimation
Zhihua Zhang
Shibo Zhao
Zebang Shen
Shuchang Zhou
45
2
0
22 Jul 2013
Statistical Inferences Using Large Estimated Covariances for Panel Data
  and Factor Models
Statistical Inferences Using Large Estimated Covariances for Panel Data and Factor Models
Jushan Bai
Yuan Liao
38
20
0
10 Jul 2013
Optimal Feature Selection in High-Dimensional Discriminant Analysis
Optimal Feature Selection in High-Dimensional Discriminant Analysis
Mladen Kolar
Han Liu
33
25
0
27 Jun 2013
Optimal computational and statistical rates of convergence for sparse
  nonconvex learning problems
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Zhaoran Wang
Han Liu
Tong Zhang
33
175
0
20 Jun 2013
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via
  Non-convex Regularized Regression
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via Non-convex Regularized Regression
Zheng Pan
Changshui Zhang
38
13
0
14 Jun 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
28
760
0
13 Jun 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic
  theory for local optima
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh
Martin J. Wainwright
33
513
0
10 May 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex
  Regularized Optimization Problems
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong
Changshui Zhang
Zhaosong Lu
Jianhua Z. Huang
Jieping Ye
59
399
0
18 Mar 2013
Estimation of oblique structure via penalized likelihood factor analysis
Estimation of oblique structure via penalized likelihood factor analysis
K. Hirose
Michio Yamamoto
CML
56
48
0
22 Feb 2013
High-Dimensional Sparse Additive Hazards Regression
High-Dimensional Sparse Additive Hazards Regression
Wei Lin
Jinchi Lv
55
78
0
26 Dec 2012
Better subset regression
Better subset regression
Shifeng Xiong
42
44
0
04 Dec 2012
Variable selection in linear mixed effects models
Variable selection in linear mixed effects models
Yingying Fan
Runze Li
34
127
0
02 Nov 2012
APPLE: Approximate Path for Penalized Likelihood Estimators
APPLE: Approximate Path for Penalized Likelihood Estimators
Yi Yu
Yang Feng
54
13
0
02 Nov 2012
Strong oracle optimality of folded concave penalized estimation
Strong oracle optimality of folded concave penalized estimation
Jianqing Fan
Lingzhou Xue
H. Zou
54
302
0
22 Oct 2012
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis
  Coefficients
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients
Weimin Miao
S. Pan
Defeng Sun
45
44
0
13 Oct 2012
Towards Ultrahigh Dimensional Feature Selection for Big Data
Towards Ultrahigh Dimensional Feature Selection for Big Data
Mingkui Tan
Ivor W. Tsang
Li Wang
56
154
0
24 Sep 2012
Group descent algorithms for nonconvex penalized linear and logistic
  regression models with grouped predictors
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
P. Breheny
Jian Huang
108
280
0
10 Sep 2012
Residual variance and the signal-to-noise ratio in high-dimensional
  linear models
Residual variance and the signal-to-noise ratio in high-dimensional linear models
Lee H. Dicker
48
5
0
31 Aug 2012
Preconditioning to comply with the Irrepresentable Condition
Preconditioning to comply with the Irrepresentable Condition
Jinzhu Jia
Karl Rohe
41
25
0
28 Aug 2012
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
63
87
0
17 Aug 2012
Variable Selection with Exponential Weights and $l_0$-Penalization
Variable Selection with Exponential Weights and l0l_0l0​-Penalization
E. Arias-Castro
Karim Lounici
72
8
0
13 Aug 2012
Fast Sparse Superposition Codes have Exponentially Small Error
  Probability for R < C
Fast Sparse Superposition Codes have Exponentially Small Error Probability for R < C
Antony Joseph
Andrew R. Barron
59
10
0
10 Jul 2012
Nearly optimal minimax estimator for high-dimensional sparse linear
  regression
Nearly optimal minimax estimator for high-dimensional sparse linear regression
Li Zhang
38
12
0
27 Jun 2012
Sparse estimation via nonconcave penalized likelihood in a factor
  analysis model
Sparse estimation via nonconcave penalized likelihood in a factor analysis model
K. Hirose
Michio Yamamoto
49
81
0
26 May 2012
Adaptive robust variable selection
Adaptive robust variable selection
Jianqing Fan
Yingying Fan
Emre Barut
101
199
0
22 May 2012
Variance function estimation in high-dimensions
Variance function estimation in high-dimensions
Mladen Kolar
James Sharpnack
46
12
0
21 May 2012
Covariate assisted screening and estimation
Covariate assisted screening and estimation
Z. Ke
Jiashun Jin
Jianqing Fan
51
21
0
21 May 2012
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