Statistical inference and large-scale multiple testing for high-dimensional regression models-Reference-Cited by-同舟云学术

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Statistical inference and large-scale multiple testing for high-dimensional regression models

Published:2023-07-05 Issue:4 Volume:32 Page:1135-1171
ISSN:1133-0686
Container-title:TEST
language:en
Short-container-title:TEST

Author:

Cai T. Tony,Guo Zijian,Xia Yin

Funder

National Natural Science Foundation of China

National Science Foundation

Foundation for the National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s11749-023-00870-1.pdf

Reference129 articles.

1. Athey S, Imbens GW, Wager S (2018) Approximate residual balancing: debiased inference of average treatment effects in high dimensions. J R Stat Soc B 80(4):597–623

2. Bach F (2010) Self-concordant analysis for logistic regression. Electron J Stat 4:384–414

3. Barber RF, Candès EJ (2015) Controlling the false discovery rate via knockoffs. Ann Stat 43(5):2055–2085

4. Barber RF, Candès EJ, Samworth RJ (2020) Robust inference with knockoffs. Ann Stat 48(3):1409–1431

5. Battey H, Fan J, Liu H, Lu J, Zhu Z (2018) Distributed testing and estimation under sparse high dimensional models. Ann Stat 46(3):1352

Cited by 2 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. Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting;Journal of Business & Economic Statistics;2024-04-02

2. Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models;TEST;2023-11-07

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