Almost sure central limit theorems for the maxima of Gaussian functions
Wenyi Song,
Jiamin Shao and
Zhongquan Tan
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 20, 7136-7147
Abstract:
In this article, we proved the almost sure central limit theorem for the maxima of two types of functions of stationary Gaussian sequence including chi-random sequence and Gaussian order statistics sequence, where the covariance function rn of the Gaussian sequence satisfies the condition rn log n( log log n)1+ε=O(1) for some ε>0.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1871019 (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:51:y:2022:i:20:p:7136-7147
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2020.1871019
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 ().