Documents

We consider a Pseudo-Poisson process, when the leading Poisson
process has a random intensity. Under an appropriate distribution for the random intensity the corresponding Pseudo-Poisson process possesses a covariance of the fractional Ornstein-Uhlenbeck process. Applying to the Pseudo-Poisson processes with the considered random intensity the Lamperti transform and then the Central Limit Theorem for vectors we obtain the fractional Brownian motion as a limit in a sense of weak convergence of finite dimensional distributions.
Original languageEnglish
Title of host publicationАналитические и вычислительные методы в теории вероятностей и её приложениях (АВМТВ-2017) = Analytical and Computational Methods in Probability Theory and its Applications (ACMPT-2017)
Subtitle of host publicationматериалы Международной научной конференции. Россия, Москва, 23–27 октября 2017 г.
Place of PublicationМ.
PublisherРоссийский университет дружбы народов
Pages161-165
ISBN (Print)9785209082910
StatePublished - 2017
EventАналитические и вычислительные методы в теории
вероятностей и её приложениях (АВМТВ-2017) =
Analytical and Computational Methods in Probability
Theory and its Applications (ACMPT-2017)
- МГУ, РУДН, Москва, Russian Federation
Duration: 23 Oct 201727 Oct 2017

Conference

ConferenceАналитические и вычислительные методы в теории
вероятностей и её приложениях (АВМТВ-2017) =
Analytical and Computational Methods in Probability
Theory and its Applications (ACMPT-2017)
Abbreviated titleACMPT-2017
Country/TerritoryRussian Federation
CityМосква
Period23/10/1727/10/17

    Research areas

  • Pseudo-Poisson process, Laplace transform, Lamperti transform, fractional Ornstein-Uhlenbeck process, fractional Brownian Motion

ID: 97764421