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Discussion: The Dantzig selector: Statistical estimation when $p$ is
  much larger than $n$

Discussion: The Dantzig selector: Statistical estimation when ppp is much larger than nnn

21 March 2008
B. Efron
Trevor Hastie
Robert Tibshirani
ArXivPDFHTML

Papers citing "Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$"

12 / 12 papers shown
Title
Variable Selection and Regularization via Arbitrary Rectangle-range
  Generalized Elastic Net
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net
Yujia Ding
Qidi Peng
Zhengming Song
Hansen Chen
41
6
0
14 Dec 2021
A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector
  and LASSO
A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector and LASSO
Yun-Bin Zhao
Duan Li
29
2
0
10 Nov 2017
A framework to characterize performance of LASSO algorithms
A framework to characterize performance of LASSO algorithms
M. Stojnic
50
128
0
29 Mar 2013
Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig
  Selector
Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig Selector
Lee H. Dicker
Xihong Lin
37
11
0
20 Mar 2012
Limiting Laws of Coherence of Random Matrices with Applications to
  Testing Covariance Structure and Construction of Compressed Sensing Matrices
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices
Tony Cai
Tiefeng Jiang
43
197
0
14 Feb 2011
An Alternating Direction Method for Finding Dantzig Selectors
An Alternating Direction Method for Finding Dantzig Selectors
Zhaosong Lu
Ting Kei Pong
Yong Zhang
75
36
0
20 Nov 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
77
3,516
0
25 Feb 2010
A Selective Overview of Variable Selection in High Dimensional Feature
  Space (Invited Review Article)
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan
Jinchi Lv
104
905
0
06 Oct 2009
Coherence-Based Performance Guarantees for Estimating a Sparse Vector
  Under Random Noise
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise
Z. Ben-Haim
Yonina C. Eldar
Michael Elad
60
255
0
26 Mar 2009
On Verifiable Sufficient Conditions for Sparse Signal Recovery via
  $\ell_1$ Minimization
On Verifiable Sufficient Conditions for Sparse Signal Recovery via ℓ1\ell_1ℓ1​ Minimization
A. Juditsky
A. Nemirovski
104
142
0
16 Sep 2008
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
130
863
0
07 Aug 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
107
2,515
0
07 Jan 2008
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