Sciact
  • EN
  • RU

Processes with catastrophes: Large deviation point of view Full article

Journal Stochastic Processes and their Applications
ISSN: 0304-4149
Output data Year: 2024, Volume: 176, Article number : 104447, Pages count : 19 DOI: 10.1016/j.spa.2024.104447
Tags Markov process, Stochastic processes with catastrophes, Law of large numbers, Large deviation principle, Rate function
Authors Logachov A. 1,2 , Logachova O. 3 , Yambartsev A. 4
Affiliations
1 Lab. of Probability Theory and Math. Statistics, Sobolev Institute of Mathematics
2 Department of Computer Science in Economics, Novosibirsk State Technical University
3 Department of High Mathematics, Siberian State University of Geosystems and Technologies
4 Department of Statistics, Institute of Mathematics and Statistics, University of São Paulo

Funding (1)

1 Министерство науки и высшего образования РФ
Mathematical Center in Akademgorodok
075-15-2019-1613, 075-15-2022-281

Abstract: In this paper, we propose a new definition of catastrophes and present our results on large deviations for Poisson processes with catastrophes that satisfy this definition. Our earlier work focused on (almost) uniformly distributed catastrophes, but the current paper extends the results to a larger class of catastrophes. We show that the rate function remains the same regardless of the distribution of catastrophic events. Additionally, we extend and generalize our previous results on the limiting behavior of the supremum of the considered processes.
Cite: Logachov A. , Logachova O. , Yambartsev A.
Processes with catastrophes: Large deviation point of view
Stochastic Processes and their Applications. 2024. V.176. 104447 :1-19. DOI: 10.1016/j.spa.2024.104447 WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Jun 2, 2023
Accepted: Jul 23, 2024
Published print: Jul 29, 2024
Published online: Aug 1, 2024
Identifiers:
Web of science: WOS:001287528300001
Scopus: 2-s2.0-85200134709
Elibrary: 74048611
OpenAlex: W4401074572
Citing:
DB Citing
Web of science 1
Scopus 1
OpenAlex 1
Altmetrics: