A review of distributed statistical inference

A review of distributed statistical inference

The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to develop novel algorithms. Inspired by the idea of divide-and-conquer, various distributed frameworks for statistical estimat...

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Bibliographic Details
Main Authors: Yuan Gao, Weidong Liu, Hansheng Wang, Xiaozhou Wang, Yibo Yan, Riquan Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2022-05-01
Series:Statistical Theory and Related Fields
Subjects:
distributed computing
divide-and-conquer
communication-efficiency
shrinkage methods
nonparametric estimation
principal component analysis
feature screening
bootstrap
Online Access:http://dx.doi.org/10.1080/24754269.2021.1974158

Internet

http://dx.doi.org/10.1080/24754269.2021.1974158

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