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Physica A Statistical Mechanics and its Applications
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Integrated stationary Ornstein–Uhlenbeck process, and double integral processes

Authors: Abundo, Mario; Pirozzi, Enrica;

Integrated stationary Ornstein–Uhlenbeck process, and double integral processes

Abstract

Abstract We find a representation of the integral of the stationary Ornstein–Uhlenbeck (ISOU) process in terms of Brownian motion B t ; moreover, we show that, under certain conditions on the functions f and g , the double integral process (DIP) D ( t ) = ∫ β t g ( s ) ∫ α s f ( u ) d B u d s can be thought as the integral of a suitable Gauss–Markov process. Some theoretical and application details are given, among them we provide a simulation formula based on that representation by which sample paths, probability densities and first passage times of the ISOU process are obtained; the first-passage times of the DIP are also studied.

Country
Italy
Keywords

Double integral process Gauss–Markov process Ornstein–Uhlenbeck process, Double integral process, Gauss-Markov process, Ornstein-Uhlenbeck process, Settore MAT/06 - PROBABILITA' E STATISTICA MATEMATICA, Double integral process, Gauss-Markov process, Ornstein-Uhlenbeck process, Double integral process; Gauss-Markov process; Ornstein-Uhlenbeck process

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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