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Significance testing in non-sparse high-dimensional linear models

Significance testing in non-sparse high-dimensional linear models

7 October 2016
Yinchu Zhu
Jelena Bradic
ArXivPDFHTML

Papers citing "Significance testing in non-sparse high-dimensional linear models"

5 / 5 papers shown
Title
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Yanmei Shi
Zhiruo Li
Q. Zhang
13
0
0
17 Oct 2022
Double-estimation-friendly inference for high-dimensional misspecified
  models
Double-estimation-friendly inference for high-dimensional misspecified models
Rajen Dinesh Shah
Peter Buhlmann
6
10
0
24 Sep 2019
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
16
285
0
19 Mar 2018
In Defense of the Indefensible: A Very Naive Approach to
  High-Dimensional Inference
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference
Sen Zhao
Daniela Witten
Ali Shojaie
33
57
0
16 May 2017
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
99
160
0
17 Jan 2013
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