Shannon-McMillan theorem and strong law of large numbers for Markov chains indexed by generalized spherically symmetric trees
Weicai Peng and
Xinyue Xi
Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 8, 2562-2573
Abstract:
In this paper, we investigate some strong limit properties for Markov chains indexed by a class of infinite trees, which are the generalizations of the spherically symmetric tree. We first give the definition of the generalized spherically symmetric tree model, then obtain the strong law of large numbers for Markov chain indexed by such tree. Finally, we establish the Shannon-McMillan theorem for Markov chains indexed by generalized spherically symmetric tree by applying the Stolz theorem. The obtained properties are generalizations of some known results in the existing literature.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1955385 (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:8:p:2562-2573
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2021.1955385
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 ().