Discussion of ‘Statistical inference for streamed longitudinal data’-Reference-Cited by-同舟云学术

Discussion of ‘Statistical inference for streamed longitudinal data’

Published:2023-11-15 Issue:4 Volume:110 Page:867-869
ISSN:0006-3444
Container-title:Biometrika
language:en
Short-container-title:

Author:

Ning Yang¹,Duan Jingyi²

Affiliation:

1. Department of Statistics and Data Science, Cornell University , 1188 Comstock Hall , Ithaca, New York 14853, U.S.A

2. Department of Statistics and Data Science, Cornell University , 1188 Comstock Hall , Ithaca, New York 14853, U.S.A ., jd2222@cornell.edu

Funder

National Science Foundation

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Link

https://academic.oup.com/biomet/article-pdf/110/4/867/53472017/asad043.pdf

Reference10 articles.

1. Post-selection inference for generalized linear models with many controls;Belloni;J. Bus. Econ. Statist,2016

2. Confidence intervals for high-dimensional linear regression: minimax rates and adaptivity;Cai;Ann. Statist,2017

3. Test of significance for high-dimensional longitudinal data;Fang;Ann. Statist,2020

4. Confidence intervals and hypothesis testing for high-dimensional regression;Javanmard;J. Mach. Learn. Res,2014

5. Statistical inference for streamed longitudinal data;Luo;Biometrika,2023

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1. Rejoinder: ‘Statistical inference for streamed longitudinal data’;Biometrika;2023-11-15