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Hierarchical Testing in the High-Dimensional Setting with Correlated
  Variables

Hierarchical Testing in the High-Dimensional Setting with Correlated Variables

19 December 2013
Jacopo Mandozzi
Peter Buhlmann
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Papers citing "Hierarchical Testing in the High-Dimensional Setting with Correlated Variables"

11 / 11 papers shown
Title
A projection pursuit framework for testing general high-dimensional
  hypothesis
A projection pursuit framework for testing general high-dimensional hypothesis
Yinchu Zhu
Jelena Bradic
44
13
0
02 May 2017
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
51
97
0
08 Jul 2013
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
Hanzhong Liu
Bin Yu
60
88
0
24 Jun 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
161
766
0
13 Jun 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
161
1,130
0
03 Mar 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
146
161
0
17 Jan 2013
Correlated variables in regression: clustering and sparse estimation
Correlated variables in regression: clustering and sparse estimation
Peter Buhlmann
Philipp Rutimann
Sara van de Geer
Cun-Hui Zhang
163
182
0
26 Sep 2012
Statistical significance in high-dimensional linear models
Statistical significance in high-dimensional linear models
Peter Buhlmann
143
229
0
07 Feb 2012
P-values for high-dimensional regression
P-values for high-dimensional regression
N. Meinshausen
L. Meier
Peter Buhlmann
112
440
0
13 Nov 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
295
869
0
07 Aug 2008
High-dimensional variable selection
High-dimensional variable selection
Larry Wasserman
Kathryn Roeder
345
579
0
09 Apr 2007
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