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Poissonization Principle for a Class of Additive Statistics Full article

Journal Mathematics
, E-ISSN: 2227-7390
Output data Year: 2022, Volume: 10, Number: 21, Article number : 4084, Pages count : DOI: 10.3390/math10214084
Tags additive functional; empirical point process; group frequency; Poisson point process; Poissonization
Authors Borisov I. 1,2 , Jetpisbaev M. 1,2
Affiliations
1 Laboratory of Probability Theory and Mathematical Statistics, Sobolev Institute of Mathematics, Novosibirsk, 630090, Russian Federation
2 Novosibirsk State University, Novosibirsk, 630090, Russian Federation

Funding (1)

1 Russian Science Foundation 22-21-00414

Abstract: In this paper, we consider a class of additive functionals of a finite or countable collection of the group frequencies of an empirical point process that corresponds to, at most, a countable partition of the sample space. Under broad conditions, it is shown that the asymptotic behavior of the distributions of such functionals is similar to the behavior of the distributions of the same functionals of the accompanying Poisson point process. However, the Poisson versions of the additive functionals under consideration, unlike the original ones, have the structure of sums (finite or infinite) of independent random variables that allows us to reduce the asymptotic analysis of the distributions of additive functionals of an empirical point process to classical problems of the theory of summation of independent random variables. © 2022 by the authors.
Cite: Borisov I. , Jetpisbaev M.
Poissonization Principle for a Class of Additive Statistics
Mathematics. 2022. V.10. N21. 4084 . DOI: 10.3390/math10214084 WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Sep 5, 2022
Accepted: Oct 29, 2022
Published print: Nov 2, 2022
Published online: Nov 2, 2022
Identifiers:
Web of science: WOS:000884545700001
Scopus: 2-s2.0-85141876805
Elibrary: 57508806
OpenAlex: W4309090453
Citing:
DB Citing
Scopus 2
Web of science 2
OpenAlex 3
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