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Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic
  Regression Models

Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models

17 May 2018
Rong Ma
T. Tony Cai
Hongzhe Li
ArXivPDFHTML

Papers citing "Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models"

9 / 9 papers shown
Title
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Xiaorui Zhu
Yi Qin
Peng Wang
41
0
0
14 Jul 2023
The phase transition for the existence of the maximum likelihood
  estimate in high-dimensional logistic regression
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression
Emmanuel J. Candes
Pragya Sur
36
140
0
25 Apr 2018
Asymptotic normality and optimalities in estimation of large Gaussian
  graphical models
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
Zhao Ren
Tingni Sun
Cun-Hui Zhang
Harrison H. Zhou
127
245
0
24 Sep 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
156
766
0
13 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
91
190
0
15 Apr 2013
Robust 1-bit compressed sensing and sparse logistic regression: A convex
  programming approach
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
Y. Plan
Roman Vershynin
176
457
0
06 Feb 2012
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
296
1,377
0
13 Oct 2010
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
219
729
0
05 Oct 2009
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
437
755
0
04 Apr 2008
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