Central limit theorem for linear processes generated by m-dependent random variables under the sub-linear expectation
Shuang Guo and
Yong Zhang
Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 18, 6407-6419
Abstract:
We prove the Rosnethal’s inequality of m-dependent random variables under the sub-linear expectation in this paper. Furthermore, we use this inequality to investigate the central limit theorem for linear processes generated by m-dependent random variables under sub-linear expectations. This article use the basic definitions of sub-linear expectation space, Kronecker lemma, Cr inequality etc. to demonstrate the main conclusion.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2028840 (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:lstaxx:v:52:y:2023:i:18:p:6407-6419
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2022.2028840
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().