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1312.5556
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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
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
A. Chatterjee
S. Lahiri
51
97
0
08 Jul 2013
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
Adel Javanmard
Andrea Montanari
161
766
0
13 Jun 2013
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
Adel Javanmard
Andrea Montanari
146
161
0
17 Jan 2013
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
Peter Buhlmann
143
229
0
07 Feb 2012
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
Cun-Hui Zhang
Jian Huang
295
869
0
07 Aug 2008
High-dimensional variable selection
Larry Wasserman
Kathryn Roeder
345
579
0
09 Apr 2007
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