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Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic
  Regression Models
v1v2v3v4v5 (latest)

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

17 May 2018
Rong Ma
T. Tony Cai
Hongzhe Li
ArXiv (abs)PDFHTML

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

16 / 16 papers shown
Membership Inference Attacks with False Discovery Rate Control
Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao
Wei Qian
Aobo Chen
Mengdi Huai
214
2
0
09 Aug 2025
Statistical Inference in High-dimensional Poisson Regression with
  Applications to Mediation Analysis
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
Prabrisha Rakshit
Zijian Guo
245
1
0
28 Oct 2024
Adaptive debiased SGD in high-dimensional GLMs with streaming data
Adaptive debiased SGD in high-dimensional GLMs with streaming data
Ruijian Han
Lan Luo
Yuanhang Luo
Yuanyuan Lin
Jian Huang
465
0
0
28 May 2024
Inference with non-differentiable surrogate loss in a general
  high-dimensional classification framework
Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
Muxuan Liang
Yang Ning
Maureen A Smith
Yingqi Zhao
236
0
0
20 May 2024
Stab-GKnock: Controlled variable selection for partially linear models
  using generalized knockoffs
Stab-GKnock: Controlled variable selection for partially linear models using generalized knockoffsStatistics and computing (Stat. Comput.), 2023
Han Su
Panxu Yuan
Qingyang Sun
Mengxi Yi
Gaorong Li
240
1
0
27 Nov 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear ModelsMetrika (Heidelberg) (MH), 2023
Xiaorui Zhu
Yi Qin
Peng Wang
318
0
0
14 Jul 2023
Distributed Semi-Supervised Sparse Statistical Inference
Distributed Semi-Supervised Sparse Statistical InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Mingyue Xu
437
6
0
17 Jun 2023
Statistical Inference and Large-scale Multiple Testing for
  High-dimensional Regression Models
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression ModelsTest (Madrid) (TM), 2023
T. Tony Cai
Zijian Guo
Yin Xia
291
9
0
25 Jan 2023
Near-optimal multiple testing in Bayesian linear models with
  finite-sample FDR control
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control
Taejoon Ahn
Licong Lin
Song Mei
500
3
0
04 Nov 2022
Statistical Inference for Genetic Relatedness Based on High-Dimensional
  Logistic Regression
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic RegressionStatistica sinica (Stat. Sinica), 2022
Rong Ma
Zijian Guo
T. Tony Cai
Hongzhe Li
338
12
0
21 Feb 2022
Statistical Inference for High-Dimensional Linear Regression with
  Blockwise Missing Data
Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing DataStatistica sinica (Stat. Sinica), 2021
Fei Xue
Rong Ma
Hongzhe Li
226
1
0
07 Jun 2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk
  Prediction
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk PredictionJournal of machine learning research (JMLR), 2021
Jue Hou
Zijian Guo
Tianxi Cai
320
21
0
04 May 2021
Directional FDR Control for Sub-Gaussian Sparse GLMs
Directional FDR Control for Sub-Gaussian Sparse GLMsCommunications in Mathematics and Statistics (Commun. Math. Stat.), 2021
Chang Cui
Jinzhu Jia
Yijun Xiao
Huiming Zhang
315
5
0
02 May 2021
Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic
  Properties with Measurement Error
Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement ErrorActa Mathematica Scientia (Acta Math. Sci.), 2020
Huamei Huang
Yujing Gao
Huiming Zhang
Yangqiu Song
265
15
0
11 Jun 2020
The Asymptotic Distribution of the MLE in High-dimensional Logistic
  Models: Arbitrary Covariance
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary CovarianceBernoulli (Bernoulli), 2020
Qian Zhao
Pragya Sur
Emmanuel J. Candès
265
43
0
25 Jan 2020
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
469
310
0
19 Mar 2018
1
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