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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Bibliografiska uppgifter

Huvudupphov:	Yuan Gao, Weidong Liu, Hansheng Wang, Xiaozhou Wang, Yibo Yan, Riquan Zhang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Taylor & Francis Group 2022-05-01
Serie:	Statistical Theory and Related Fields
Ämnen:	distributed computing divide-and-conquer communication-efficiency shrinkage methods nonparametric estimation principal component analysis feature screening bootstrap
Länkar:	http://dx.doi.org/10.1080/24754269.2021.1974158
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