Inference for High-Dimensional Censored Quantile Regression-Reference-Cited by-同舟云学术

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Inference for High-Dimensional Censored Quantile Regression

Published:2021-08-20 Issue: Volume: Page:1-15
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Fei Zhe¹,Zheng Qi²,Hong Hyokyoung G.³,Li Yi⁴^ORCID

Affiliation:

1. Department of Biostatistics, University of California, Los Angeles, CA

2. Department of Bioinformatics and Biostatistics, University of Louisville, KY

3. Department of Statistics and Probability, Michigan State University, East Lansing, MI

4. Department of Biostatistics, University of Michigan, Ann Arbor, MI

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1957900

Reference63 articles.

1. Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models

2. Valid post-selection inference

3. High-Dimensional Statistics with a View Toward Applications in Biology

4. Prostate Cancer Susceptibility Variants Confer Increased Risk of Disease Progression

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Inference for Censored Quantile Regression;Journal of Systems Science and Complexity;2024-09-09

2. A censored quantile transformation model for Alzheimer’s Disease data with multiple functional covariates;Journal of the Royal Statistical Society Series A: Statistics in Society;2024-07-11

3. LASSO can fix the statistical properties of the CLAD estimator under heavy censoring;SSRN Electronic Journal;2024

4. Asymptotics of CoVaR Inference In Two-Quantile-Regression;SSRN Electronic Journal;2024

5. Regional quantile regression for multiple responses;Computational Statistics & Data Analysis;2023-12

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