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Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse
  High-dimensional Linear Regression

Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression

24 June 2013
Hanzhong Liu
Bin Yu
ArXivPDFHTML

Papers citing "Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression"

16 / 16 papers shown
Title
Rates of convergence of the Adaptive LASSO estimators to the Oracle
  distribution and higher order refinements by the bootstrap
Rates of convergence of the Adaptive LASSO estimators to the Oracle distribution and higher order refinements by the bootstrap
A. Chatterjee
S. Lahiri
56
97
0
08 Jul 2013
Supplementary Appendix for "Inference on Treatment Effects After
  Selection Amongst High-Dimensional Controls"
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
A. Belloni
Victor Chernozhukov
Christian B. Hansen
203
1,401
0
27 May 2013
Model Selection for High-Dimensional Regression under the Generalized
  Irrepresentability Condition
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard
Andrea Montanari
108
21
0
02 May 2013
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
312
1,377
0
13 Oct 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
174
575
0
11 Oct 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
262
359
0
21 May 2009
Honest variable selection in linear and logistic regression models via
  $\ell_1$ and $\ell_1+\ell_2$ penalization
Honest variable selection in linear and logistic regression models via ℓ1\ell_1ℓ1​ and ℓ1+ℓ2\ell_1+\ell_2ℓ1​+ℓ2​ penalization
F. Bunea
202
147
0
29 Aug 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
313
869
0
07 Aug 2008
Lasso-type recovery of sparse representations for high-dimensional data
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen
Bin Yu
275
879
0
01 Jun 2008
Bolasso: model consistent Lasso estimation through the bootstrap
Bolasso: model consistent Lasso estimation through the bootstrap
Francis R. Bach
62
450
0
08 Apr 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
453
755
0
04 Apr 2008
Asymptotic properties of bridge estimators in sparse high-dimensional
  regression models
Asymptotic properties of bridge estimators in sparse high-dimensional regression models
Jian Huang
J. Horowitz
Shuangge Ma
206
517
0
04 Apr 2008
Sup-norm convergence rate and sign concentration property of Lasso and
  Dantzig estimators
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators
Karim Lounici
272
241
0
30 Jan 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
367
2,527
0
07 Jan 2008
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
202
2,052
0
10 Aug 2007
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
378
470
0
23 May 2007
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