Rejoinder on ‘A review of distributed statistical inference’-Reference-Cited by-同舟云学术

Rejoinder on ‘A review of distributed statistical inference’

Published:2022-02-09 Issue:2 Volume:6 Page:111-113
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 – School of Life Sciences and Biotechnology – MOE Key Lab of Artifcial Intelligence, Shanghai Jiao Tong University, Shanghai, People's Republic of China

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

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/10.1080/24754269.2022.2035304

Reference22 articles.

1. Battey, H., Tan, K. M. & Zhou, W.X. (2021). Communication-efficient distributed quantile regression with optimal statistical guarantees. Preprint. arXiv:2110.13113

2. A convex optimization approach to high-dimensional sparse quadratic discriminant analysis

3. Choromanska, A., Henaff, M., Mathieu, M., Arous, G. B. & LeCun, Y. (2015). The loss surfaces of multilayer networks. In Artificial Intelligence and Statistics (pp. 192–204). PMLR. http://proceedings.mlr.press/v38/choromanska15.pdf

4. Du, B. & Zhao, J. (2021). Hypothesis testing of one-sample mean vector in distributed frameworks. Preprint. arXiv:2110.02588