A review of distributed statistical inference-Reference-Cited by-同舟云学术

A review of distributed statistical inference

Published:2021-09-13 Issue: Volume: Page:1-11
ISSN:2475-4269
Container-title:Statistical Theory and Related Fields
language:en
Short-container-title:Statistical Theory and Related Fields

Author:

Gao Yuan¹,Liu Weidong²,Wang Hansheng³,Wang Xiaozhou¹,Yan Yibo¹,Zhang Riquan¹

Affiliation:

1. School of Statistics and Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, East China Normal University, Shanghai, People's Republic of China

2. School of Mathematical Sciences and Key Lab of Articial Intelligence – MOE, Shanghai Jiao Tong University, Shanghai, People's Republic of China

3. Guanghua School of Management, Peking University, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

the 111 Project

Project of National Social Science Fund of China

National Program on Key Basic Research Project

China's National Key Research Special Program

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/24754269.2021.1974158

Reference73 articles.

1. Agarwal, N., Suresh, A. T., Yu, F., Kumar, S. & McMahan, H. B. (2018). cpsgd: Communication-efficient and differentially-private distributed sgd. In Proceedings of the 32nd International Conference on Neural Information Processing Systems (pp. 7575–7586). Curran Associates Inc.

2. Distributed testing and estimation under sparse high dimensional models

3. Bickel, P. J., Götze, F. & van Zwet, W. R. (2012). Resampling fewer than n observations: Gains, losses, and remedies for losses. In Selected works of Willem van Zwet (pp. 267–297). Springer.

4. Divide and conquer local average regression

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