A review of distributed statistical inference

A review of distributed statistical inference

13 April 2023

Papers citing "A review of distributed statistical inference"

12 / 12 papers shown

Title
Statistical Mean Estimation with Coded Relayed Observations Yan Hao Ling Zhouhao Yang Jonathan Scarlett 22 0 0 14 May 2025
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction Yuan Gao Rui Pan Feng Li Riquan Zhang Hansheng Wang 22 0 0 21 Sep 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 24 0 0 13 May 2024
Copula Approximate Bayesian Computation Using Distribution Random Forests G. Karabatsos 39 1 0 28 Feb 2024
Distributed Linear Regression with Compositional Covariates Yue Chao Lei Huang Xuejun Ma 26 0 0 21 Oct 2023
On Collaboration in Distributed Parameter Estimation with Resource Constraints Y. Chen Daniel S. Menasché Don Towsley 44 0 0 12 Jul 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 20 11 0 14 Apr 2023
Communication-Efficient Distributed Estimation and Inference for Cox's Model Pierre Bayle Jianqing Fan Zhipeng Lou 21 1 0 23 Feb 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 16 2 0 09 Jan 2023
Distributed Estimation and Inference for Semi-parametric Binary Response Models Xinyu Chen Wenbo Jing Weidong Liu Yichen Zhang 26 2 0 15 Oct 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 54 4 0 19 Sep 2022
Data splitting improves statistical performance in overparametrized regimes Nicole Mücke Enrico Reiss Jonas Rungenhagen Markus Klein 11 7 0 21 Oct 2021