Complete integral convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations

Li Wang and Qunying Wu

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 24, 8763-8784

Abstract: In this article, we establish some results on the complete convergence and complete integral convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations, which extend some complete moment convergence theorems from the classical probability space to the situation of sub-linear expectation space.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2071448 (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:24:p:8763-8784

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2022.2071448

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 ().