Extreme Value Distributions for Two Kinds of Path Sums of Markov Chain
Lei Gao () and
Dong Han ()
Additional contact information
Lei Gao: Shanghai Jiao Tong University
Dong Han: Shanghai Jiao Tong University
Methodology and Computing in Applied Probability, 2020, vol. 22, issue 1, 279-294
Abstract:
Abstract We consider the extreme value distributions for two kinds of path sums on condition that every path is a discrete time, homogeneous and irreducible ergodic Markov chain with a finite number of states. We not only derive the extreme value distribution for the first kind but also establish the equivalence of limit distributions of a sum and of a maximum sum for the second kind. Numerical experiments are conducted to confirm our results.
Keywords: Extreme value; Path sums; Limiting distributions; Markov chain; Numerical experiments; 60F99; 60G70; 60J10 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11009-019-09703-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:metcap:v:22:y:2020:i:1:d:10.1007_s11009-019-09703-x
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-019-09703-x
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().