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Small and large scale behavior of moments of poisson cluster processes

dc.contributor.authorAntunes, Nelson
dc.contributor.authorPipiras, Vladas
dc.contributor.authorAbry, Patrice
dc.contributor.authorVeitch, Darryl
dc.date.accessioned2019-11-20T15:07:07Z
dc.date.available2019-11-20T15:07:07Z
dc.date.issued2017-12
dc.description.abstractPoisson cluster processes are special point processes that find use in modeling Internet traffic, neural spike trains, computer failure times and other real-life phenomena. The focus of this work is on the various moments and cumulants of Poisson cluster processes, and specifically on their behavior at small and large scales. Under suitable assumptions motivated by the multiscale behavior of Internet traffic, it is shown that all these various quantities satisfy scale free (scaling) relations at both small and large scales. Only some of these relations turn out to carry information about salient model parameters of interest, and consequently can be used in the inference of the scaling behavior of Poisson cluster processes. At large scales, the derived results complement those available in the literature on the distributional convergence of normalized Poisson cluster processes, and also bring forward a more practical interpretation of the so-called slow and fast growth regimes. Finally, the results are applied to a real data trace from Internet traffic.
dc.description.sponsorshipNSA grant [H98230-13-1-0220]
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1051/ps/2017018
dc.identifier.issn1292-8100
dc.identifier.urihttp://hdl.handle.net/10400.1/12899
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEDP Sciences
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectFractional brownian-motion
dc.subjectNeuronal spike trains
dc.subjectPoint-processes
dc.subject1/F fluctuations
dc.subjectArrivals
dc.titleSmall and large scale behavior of moments of poisson cluster processes
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage393
oaire.citation.startPage369
oaire.citation.titleESAIM: Probability and Statistics
oaire.citation.volume21
person.familyNameAntunes
person.givenNameNelson
person.identifier.ciencia-idA31E-F40A-C819
person.identifier.orcid0000-0001-6071-1099
person.identifier.scopus-author-id15063869700
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublicationaea16f78-689b-426f-b6ad-e76e7b3972fe
relation.isAuthorOfPublication.latestForDiscoveryaea16f78-689b-426f-b6ad-e76e7b3972fe

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