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Analyzing the Gaver - Lewis Pareto Process under an Extremal Perspective

dc.contributor.authorFerreira, Marta
dc.contributor.authorFerreira, Helena
dc.date.accessioned2020-01-09T14:57:25Z
dc.date.available2020-01-09T14:57:25Z
dc.date.issued2017
dc.description.abstractPareto processes are suitable to model stationary heavy-tailed data. Here, we consider the auto-regressive Gaver–Lewis Pareto Process and address a study of the tail behavior. We characterize its local and long-range dependence. We will see that consecutive observations are asymptotically tail independent, a feature that is often misevaluated by the most common extremal models and with strong relevance to the tail inference. This also reveals clustering at “penultimate” levels. Linear correlation may not exist in a heavy-tailed context and an alternative diagnostic tool will be presented. The derived properties relate to the auto-regressive parameter of the process and will provide estimators. A comparison of the proposals is conducted through simulation and an application to a real dataset illustrates the procedure.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/risks5030033pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/8168
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectExtreme value theorypt_PT
dc.subjectAutoregressive processespt_PT
dc.subjectExtremal indexpt_PT
dc.subjectAsymptotic tail independencept_PT
dc.titleAnalyzing the Gaver - Lewis Pareto Process under an Extremal Perspectivept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00013%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMulti%2F04621%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00212%2F2013/PT
oaire.citation.issue3pt_PT
oaire.citation.startPage33pt_PT
oaire.citation.volume5pt_PT
oaire.fundingStream5876
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNameFerreira
person.givenNameHelena
person.identifier.ciencia-id7C10-8C72-313B
person.identifier.orcid0000-0001-9392-7259
person.identifier.scopus-author-id7101834831
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery0df8a302-97a1-4166-aba4-2a399c8ad078
relation.isProjectOfPublication5e38ebf2-96f8-4474-ad3c-aae1fddd9716
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