Optimal decorrelated score subsampling for generalized linear models with massive data-Reference-Cited by-同舟云学术

Optimal decorrelated score subsampling for generalized linear models with massive data

Published:2023-06-29 Issue:2 Volume:67 Page:405-430
ISSN:1674-7283
Container-title:Science China Mathematics
language:en
Short-container-title:Sci. China Math.

Author:

Gao Junzhuo,Wang Lei,Lian Heng

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s11425-022-2057-8.pdf

Reference38 articles.

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3. Ai M Y, Yu J, Zhang H M, et al. Optimal subsampling algorithms for big data regressions. Statist Sinica, 2021, 31: 749–772

4. Blazère M, Loubes J-M, Gamboa F. Oracle inequalities for a group lasso procedure applied to generalized linear models in high dimension. IEEE Trans Inform Theory, 2014, 60: 2303–2318

5. Cheng C, Feng X D, Huang J, et al. Regularized projection score estimation of treatment effects in high-dimensional quantile regression. Statist Sinica, 2022, 32: 23–41

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