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Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional
  Regression

Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression

1 November 2013
Adel Javanmard
Andrea Montanari
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Papers citing "Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression"

6 / 6 papers shown
Title
False Discovery Rate Control via Debiased Lasso
False Discovery Rate Control via Debiased Lasso
Adel Javanmard
Hamid Javadi
31
56
0
12 Mar 2018
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
34
29
0
26 Apr 2017
Online Rules for Control of False Discovery Rate and False Discovery
  Exceedance
Online Rules for Control of False Discovery Rate and False Discovery Exceedance
Adel Javanmard
Andrea Montanari
22
105
0
29 Mar 2016
Communication-efficient sparse regression: a one-shot approach
Communication-efficient sparse regression: a one-shot approach
Jason D. Lee
Yuekai Sun
Qiang Liu
Jonathan E. Taylor
43
65
0
14 Mar 2015
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
30
760
0
13 Jun 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
115
160
0
17 Jan 2013
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