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On the Distribution of Penalized Maximum Likelihood Estimators: The
  LASSO, SCAD, and Thresholding

On the Distribution of Penalized Maximum Likelihood Estimators: The LASSO, SCAD, and Thresholding

5 November 2007
B. M. Potscher
Hannes Leeb
ArXivPDFHTML

Papers citing "On the Distribution of Penalized Maximum Likelihood Estimators: The LASSO, SCAD, and Thresholding"

15 / 15 papers shown
Title
Uncertainty quantification for sparse Fourier recovery
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
34
7
0
30 Dec 2022
Sparse high-dimensional linear regression with a partitioned empirical
  Bayes ECM algorithm
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Alexander C. McLain
A. Zgodic
H. Bondell
42
2
0
16 Sep 2022
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models
P. Kramlinger
U. Schneider
Tatyana Krivobokova
23
2
0
08 Apr 2022
Support Recovery with Stochastic Gates: Theory and Application for
  Linear Models
Support Recovery with Stochastic Gates: Theory and Application for Linear Models
Soham Jana
Henry Li
Yutaro Yamada
Ofir Lindenbaum
28
5
0
29 Oct 2021
Inference for high-dimensional instrumental variables regression
Inference for high-dimensional instrumental variables regression
David Gold
Johannes Lederer
Jing Tao
30
37
0
18 Aug 2017
On Hodges' Superefficiency and Merits of Oracle Property in Model
  Selection
On Hodges' Superefficiency and Merits of Oracle Property in Model Selection
Xianyi Wu
Xian Zhou
40
6
0
10 Aug 2016
Uniformly Valid Confidence Sets Based on the Lasso
Uniformly Valid Confidence Sets Based on the Lasso
K. Ewald
U. Schneider
36
12
0
19 Jul 2015
Moment convergence in regularized estimation under multiple and
  mixed-rates asymptotics
Moment convergence in regularized estimation under multiple and mixed-rates asymptotics
Hiroki Masuda
Y. Shimizu
26
30
0
26 Jun 2014
On Various Confidence Intervals Post-Model-Selection
On Various Confidence Intervals Post-Model-Selection
Hannes Leeb
B. M. Potscher
K. Ewald
64
60
0
10 Jan 2014
Valid post-selection inference
Valid post-selection inference
R. Berk
L. Brown
A. Buja
Kai Zhang
Linda H. Zhao
53
579
0
05 Jun 2013
Post-Selection Inference for Generalized Linear Models with Many
  Controls
Post-Selection Inference for Generalized Linear Models with Many Controls
A. Belloni
Victor Chernozhukov
Ying Wei
61
187
0
15 Apr 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
48
1,125
0
03 Mar 2013
The Loss Rank Criterion for Variable Selection in Linear Regression
  Analysis
The Loss Rank Criterion for Variable Selection in Linear Regression Analysis
Minh-Ngoc Tran
80
9
0
05 Nov 2010
Bayesian Adaptive Lasso
Bayesian Adaptive Lasso
Chenlei Leng
Minh-Ngoc Tran
David J. Nott
71
147
0
13 Sep 2010
Confidence Sets Based on Penalized Maximum Likelihood Estimators in
  Gaussian Regression
Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression
B. M. Potscher
U. Schneider
114
53
0
10 Jun 2008
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