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Estimating the extremal index through local dependence

dc.contributor.authorFerreira, Helena
dc.contributor.authorFerreira, Marta
dc.date.accessioned2020-01-09T15:01:41Z
dc.date.available2020-01-09T15:01:41Z
dc.date.issued2018
dc.description.abstractThe extremal index is an important parameter in the characterization of extreme values of a stationary sequence. Our new estimation approach for this parameter is based on the extremal behavior under the local dependence condition D(k)(un). We compare a process satisfying one of this hierarchy of increasingly weaker local mixing conditions with a process of cycles satisfying the D(2)(un) condition. We also analyze local dependence within moving maxima processes and derive a necessary and su cient condition for D(k)(un). In order to evaluate the performance of the proposed estimators, we apply an empirical diagnostic for local dependence conditions, we conduct a simulation study and compare with existing methods. An application to a nancial time series is also presented.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1214/16-AIHP815pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/8169
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectExtreme value theorypt_PT
dc.subjectStationary sequencespt_PT
dc.subjectDependence conditionspt_PT
dc.subjectExtremal indexionpt_PT
dc.titleEstimating the extremal index through local dependencept_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.citation.endPage605pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage587pt_PT
oaire.citation.volume54pt_PT
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.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0df8a302-97a1-4166-aba4-2a399c8ad078
relation.isAuthorOfPublication.latestForDiscovery0df8a302-97a1-4166-aba4-2a399c8ad078
relation.isProjectOfPublication5e38ebf2-96f8-4474-ad3c-aae1fddd9716
relation.isProjectOfPublicationdcd3e896-6913-463f-9d4e-2a144e4047cb
relation.isProjectOfPublication.latestForDiscovery5e38ebf2-96f8-4474-ad3c-aae1fddd9716

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