Knockoff procedure for false discovery rate control in high-dimensional data streams-Reference-Cited by-同舟云学术

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Knockoff procedure for false discovery rate control in high-dimensional data streams

Published:2023-05-15 Issue:14 Volume:50 Page:2970-2983
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Wai Tsang Ka¹^ORCID,Tsung Fugee²,Xu Zhihao³

Affiliation:

1. School of Data Science, The Chinese University of Hong Kong, Shenzhen Guangdong 518172, People's Republic of China

2. Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Hong Kong

3. Department of Statistics, University of Michigan, Ann Arbor, MI, USA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2023.2200496

Reference23 articles.

1. The influence of reference values and estimated variance on the ARL of CUSUM tests;Bagshaw M.;J. R. Stat. Soc. Ser. B Methodol.,1975

2. Controlling the false discovery rate via knockoffs

3. A knockoff filter for high-dimensional selective inference

4. Metropolized Knockoff Sampling

5. Adaptive linear step-up procedures that control the false discovery rate

Cited by 1 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. Editorial to the special issue: modern streaming data analytics;Journal of Applied Statistics;2023-10-05

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