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A Flexible Framework for Hypothesis Testing in High-dimensions
v1v2v3v4 (latest)

A Flexible Framework for Hypothesis Testing in High-dimensions

26 April 2017
Adel Javanmard
Jason D. Lee
ArXiv (abs)PDFHTML

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

7 / 7 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
199
5
0
19 Sep 2022
Controlling the False Split Rate in Tree-Based Aggregation
Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao
Jacob Bien
Adel Javanmard
68
1
0
11 Aug 2021
Integrative Factor Regression and Its Inference for Multimodal Data
  Analysis
Integrative Factor Regression and Its Inference for Multimodal Data Analysis
Quefeng Li
Lexin Li
80
27
0
11 Nov 2019
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
128
32
0
04 Nov 2019
Goodness-of-fit testing in high-dimensional generalized linear models
Goodness-of-fit testing in high-dimensional generalized linear models
Jana Janková
Rajen Dinesh Shah
Peter Buhlmann
R. Samworth
86
32
0
09 Aug 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
90
63
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
96
288
0
19 Mar 2018
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