Discussion on the paper ‘A review of distributed statistical inference’
Junlong Zhao
Statistical Theory and Related Fields, 2022, vol. 6, issue 2, 108-110
Abstract:
Distributed statistical inferences have attracted more and more attention in recent years with the emergence of massive data. We are grateful to the authors for the excellent review of the literature in this active area. Besides the progress mentioned by the authors, we would like to discuss some additional development in this interesting area. Specifically, we focus on the balance of communication cost and the statistical efficiency of divide-and-conquer (DC) type estimators in linear discriminant analysis and hypothesis testing. It is seen that the DC approach has different behaviours in these problems, which is different from that in estimation problems. Furthermore, we discuss some issues on the statistical inferences under restricted communication budgets.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/24754269.2021.2015861 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tstfxx:v:6:y:2022:i:2:p:108-110
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tstf20
DOI: 10.1080/24754269.2021.2015861
Access Statistics for this article
Statistical Theory and Related Fields is currently edited by Zhao Wei
More articles in Statistical Theory and Related Fields from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().