Dickman type stochastic processes with short- and long- range dependence

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Grahovac, Danijel, Kovtun, Anastasiia, Leonenko, Nikolai N., Pepelyshev, Andrey
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866912437133901824
author Grahovac, Danijel
Kovtun, Anastasiia
Leonenko, Nikolai N.
Pepelyshev, Andrey
author_facet Grahovac, Danijel
Kovtun, Anastasiia
Leonenko, Nikolai N.
Pepelyshev, Andrey
contents We study properties of the (generalized) Dickman distribution with two parameters and the stationary solution of the Ornstein-Uhlenbeck stochastic differential equation driven by a Poisson process. In particular, we show that the marginal distribution of this solution is the Dickman distribution. Additionally, we investigate superpositions of Ornstein-Uhlenbeck processes which may have short- or long-range dependencies and marginal distribution of the form of the Dickman distribution. The numerical algorithm for simulation of these processes is presented.
format Preprint
id arxiv_https___arxiv_org_abs_2408_11521
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dickman type stochastic processes with short- and long- range dependence
Grahovac, Danijel
Kovtun, Anastasiia
Leonenko, Nikolai N.
Pepelyshev, Andrey
Probability
Statistics Theory
60G10
We study properties of the (generalized) Dickman distribution with two parameters and the stationary solution of the Ornstein-Uhlenbeck stochastic differential equation driven by a Poisson process. In particular, we show that the marginal distribution of this solution is the Dickman distribution. Additionally, we investigate superpositions of Ornstein-Uhlenbeck processes which may have short- or long-range dependencies and marginal distribution of the form of the Dickman distribution. The numerical algorithm for simulation of these processes is presented.
title Dickman type stochastic processes with short- and long- range dependence
topic Probability
Statistics Theory
60G10
url https://arxiv.org/abs/2408.11521