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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
ArXiv (abs)PDFHTML

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

24 / 24 papers shown
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
268
9
0
14 Dec 2021
The Dantzig selector: Recovery of Signal via $\ell_1-α\ell_2$
  Minimization
The Dantzig selector: Recovery of Signal via ℓ1−αℓ2\ell_1-α\ell_2ℓ1​−αℓ2​ MinimizationInverse Problems (IP), 2021
Huanmin Ge
Peng Li
200
24
0
29 May 2021
Sparse linear regression -- CLuP achieves the ideal \emph{exact} ML
Sparse linear regression -- CLuP achieves the ideal \emph{exact} ML
M. Stojnic
164
0
0
23 Nov 2020
Computing Estimators of Dantzig Selector type via Column and Constraint
  Generation
Computing Estimators of Dantzig Selector type via Column and Constraint Generation
Rahul Mazumder
S. Wright
Andrew Zheng
163
4
0
18 Aug 2019
HMLasso: Lasso with High Missing Rate
HMLasso: Lasso with High Missing Rate
Masaaki Takada
Hironori Fujisawa
Takeichiro Nishikawa
360
1
0
01 Nov 2018
High-dimensional regression in practice: an empirical study of
  finite-sample prediction, variable selection and ranking
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
Fan Wang
S. Mukherjee
S. Richardson
S. Hill
416
39
0
02 Aug 2018
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric
  Models
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models
Denis Nekipelov
Vira Semenova
Vasilis Syrgkanis
658
22
0
13 Jun 2018
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
249
2
0
10 Nov 2017
CoCoLasso for High-dimensional Error-in-variables Regression
CoCoLasso for High-dimensional Error-in-variables Regression
A. Datta
H. Zou
390
104
0
24 Oct 2015
Finding Dantzig selectors with a proximity operator based fixed-point
  algorithm
Finding Dantzig selectors with a proximity operator based fixed-point algorithm
Ashley Prater
Lixin Shen
B. Suter
143
11
0
19 Feb 2015
Separation of undersampled composite signals using the Dantzig selector
  with overcomplete dictionaries
Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries
Ashley Prater
Lixin Shen
138
6
0
20 Jan 2015
Sparse Estimation From Noisy Observations of an Overdetermined Linear
  System
Sparse Estimation From Noisy Observations of an Overdetermined Linear System
L. Dai
K. Pelckmans
223
1
0
12 Feb 2014
A problem dependent analysis of SOCP algorithms in noisy compressed
  sensing
A problem dependent analysis of SOCP algorithms in noisy compressed sensing
M. Stojnic
320
9
0
29 Mar 2013
A framework to characterize performance of LASSO algorithms
A framework to characterize performance of LASSO algorithms
M. Stojnic
576
132
0
29 Mar 2013
Least Absolute Gradient Selector: Statistical Regression via Pseudo-Hard
  Thresholding
Least Absolute Gradient Selector: Statistical Regression via Pseudo-Hard Thresholding
Kun Yang
367
2
0
11 Apr 2012
Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig
  Selector
Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig SelectorCanadian Journal of Statistics-revue Canadienne De Statistique (CJS), 2012
Lee H. Dicker
Xihong Lin
182
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
224
207
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
345
38
0
20 Nov 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
731
3,902
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
980
954
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 NoiseIEEE Transactions on Signal Processing (TSP), 2009
Z. Ben-Haim
Yonina C. Eldar
Michael Elad
489
260
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​ MinimizationMathematical programming (Math. Program.), 2008
A. Juditsky
A. Nemirovski
361
144
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
963
891
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
1.1K
2,607
0
07 Jan 2008
1
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