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

Published in:	Statistical Theory and Related Fields
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 2024-07-01
Subjects:	Distributed computing massive data analysis minibatch techniques stochastic optimization subsampling methods
Online Access:	https://www.tandfonline.com/doi/10.1080/24754269.2024.2343151