A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques

A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques

This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rapidly developed in the past decades. In this work, we focus on three categories of statistical computation methods: (1) d...

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Bibliographic Details
Main Authors: Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-04-01
Series:Statistical Theory and Related Fields
Subjects:
Distributed computing
massive data analysis
minibatch techniques
stochastic optimization
subsampling methods
Online Access:https://www.tandfonline.com/doi/10.1080/24754269.2024.2343151

Internet

https://www.tandfonline.com/doi/10.1080/24754269.2024.2343151

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