Distributed optimal subsampling for quantile regression with massive data-Reference-Cited by-同舟云学术

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Distributed optimal subsampling for quantile regression with massive data

Published:2024-12 Issue: Volume:233 Page:106186
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Chao Yue,Ma Xuejun^ORCID,Zhu Boya

Publisher

Elsevier BV

Reference62 articles.

1. cpSGD: Communication-efficient and differentially-private distributed SGD;Agarwal;Adv. Neural Inf. Process. Syst.,2018

2. Optimal subsampling for large-scale quantile regression;Ai;J. Complexity,2021

3. Optimal subsampling algorithms for big data regressions;Ai;Statist. Sinica,2021

4. Privacy-preserving parametric inference: A case for robust statistics;Avella-Medina;J. Amer. Statist. Assoc.,2021

5. The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy;Cai;Ann. Statist.,2021

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