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Linear Hypothesis Testing in Dense High-Dimensional Linear Models

Linear Hypothesis Testing in Dense High-Dimensional Linear Models

10 October 2016
Yinchu Zhu
Jelena Bradic
ArXivPDFHTML

Papers citing "Linear Hypothesis Testing in Dense High-Dimensional Linear Models"

14 / 14 papers shown
Title
Concentration Inequalities for Statistical Inference
Concentration Inequalities for Statistical Inference
Huiming Zhang
Songxi Chen
51
63
0
24 Feb 2025
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Yanmei Shi
Zhiruo Li
Q. Zhang
23
0
0
17 Oct 2022
Finite- and Large- Sample Inference for Model and Coefficients in
  High-dimensional Linear Regression with Repro Samples
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
P. Wang
Min-ge Xie
Linjun Zhang
40
5
0
19 Sep 2022
An Overview of Healthcare Data Analytics With Applications to the
  COVID-19 Pandemic
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Z. Fei
Y. Ryeznik
O. Sverdlov
C. Tan
Weng Kee Wong
23
20
0
25 Nov 2021
Statistical Inference for Maximin Effects: Identifying Stable
  Associations across Multiple Studies
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
Zijian Guo
28
17
0
15 Nov 2020
Minimax Semiparametric Learning With Approximate Sparsity
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
47
21
0
27 Dec 2019
Double-estimation-friendly inference for high-dimensional misspecified
  models
Double-estimation-friendly inference for high-dimensional misspecified models
Rajen Dinesh Shah
Peter Buhlmann
20
10
0
24 Sep 2019
Automatic Debiased Machine Learning of Causal and Structural Effects
Automatic Debiased Machine Learning of Causal and Structural Effects
Victor Chernozhukov
Whitney Newey
Rahul Singh
CML
AI4CE
24
103
0
14 Sep 2018
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
26
67
0
05 Jun 2018
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
23
285
0
19 Mar 2018
Fixed effects testing in high-dimensional linear mixed models
Fixed effects testing in high-dimensional linear mixed models
Jelena Bradic
G. Claeskens
Thomas Gueuning
25
17
0
14 Aug 2017
Significance testing in non-sparse high-dimensional linear models
Significance testing in non-sparse high-dimensional linear models
Yinchu Zhu
Jelena Bradic
37
31
0
07 Oct 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment
  Effects in High Dimensions
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions
Susan Athey
Guido Imbens
Stefan Wager
CML
35
387
0
25 Apr 2016
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
109
160
0
17 Jan 2013
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