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Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting

Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting

Jonathan B. Hill
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Papers citing "Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting"

7 / 7 papers shown
Title
Gaussian Approximation for High Dimensional Time Series
Gaussian Approximation for High Dimensional Time Series
Danna Zhang
Wei Biao Wu
73
132
0
27 Aug 2015
Program Evaluation and Causal Inference with High-Dimensional Data
Program Evaluation and Causal Inference with High-Dimensional Data
A. Belloni
Victor Chernozhukov
Iván Fernández-Val
Christian B. Hansen
CML
188
358
0
11 Nov 2013
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
141
224
0
21 Jan 2013
Statistical significance in high-dimensional linear models
Statistical significance in high-dimensional linear models
Peter Buhlmann
182
229
0
07 Feb 2012
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism
E. Arias-Castro
Emmanuel J. Candès
Y. Plan
96
210
0
08 Jul 2010
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
615
756
0
04 Apr 2008
Methodology and convergence rates for functional linear regression
Methodology and convergence rates for functional linear regression
P. Hall
J. Horowitz
128
650
0
03 Aug 2007

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