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A Flexible Framework for Hypothesis Testing in High-dimensions

A Flexible Framework for Hypothesis Testing in High-dimensions

26 April 2017
Adel Javanmard
J. Lee
ArXivPDFHTML

Papers citing "A Flexible Framework for Hypothesis Testing in High-dimensions"

6 / 6 papers shown
Title
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
43
5
0
19 Sep 2022
Online Debiasing for Adaptively Collected High-dimensional Data with
  Applications to Time Series Analysis
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Y. Deshpande
Adel Javanmard
M. Mehrabi
AI4TS
34
31
0
04 Nov 2019
Semi-supervised Inference for Explained Variance in High-dimensional
  Linear Regression and Its Applications
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications
T. Tony Cai
Zijian Guo
24
59
0
16 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
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
65
145
0
29 Mar 2015
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
112
160
0
17 Jan 2013
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