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Methods for estimating the upcrossings index: improvements and comparison

dc.contributor.authorMartins, Ana Paula
dc.contributor.authorSebastião, J.R.
dc.date.accessioned2019-10-11T13:40:32Z
dc.date.available2019-10-11T13:40:32Z
dc.date.issued2017
dc.description.abstractThe upcrossings index 0≤η≤1, as a measure of the degree of local dependence in the upcrossings of a high level by a stationary process, plays, together with the extremal index θ, an important role in extreme events modelling. For stationary processes, verifying a long range dependence condition, upcrossings of high thresholds in different blocks can be assumed asymptotically independent and therefore blocks estimators for the upcrossings index can be easily constructed using disjoint blocks. In this paper we focus on the estimation of the upcrossings index via the blocks method and properties such as consistency and asymptotic normality are studied. Besides this new estimation approach for this parameter, we also enlarge its family of runs estimators and improve estimation within this class by providing an empirical way of checking local dependence conditions that control the clustering of upcrossings. We compare the performance of a range of different estimators for η and illustrate the methods using simulated data and financial data.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s00362-017-0876-xpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/6700
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttp://www.springerlink.com/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectUpcrossings indexpt_PT
dc.subjectBlocks estimatorspt_PT
dc.subjectRuns estimatorspt_PT
dc.subjectDependence conditionspt_PT
dc.subjectConsistency and asymptotic normalitypt_PT
dc.titleMethods for estimating the upcrossings index: improvements and comparisonpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1347pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage1317pt_PT
oaire.citation.titleStatistical Paperspt_PT
oaire.citation.volume60pt_PT
person.familyNameMartins
person.familyNameSebastião
person.givenNameAna Paula
person.givenNameJoão Renato
person.identifier.ciencia-idC51F-68CB-1DE2
person.identifier.ciencia-id1D19-51EE-EE14
person.identifier.orcid0000-0002-3908-821X
person.identifier.orcid0000-0003-4175-010X
person.identifier.ridN-9824-2013
person.identifier.scopus-author-id8585872500
person.identifier.scopus-author-id35213824400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb69fef41-b7b3-4dca-ab38-2d75579146a4
relation.isAuthorOfPublication6f73697a-76e0-419b-b628-6641c1297e8a
relation.isAuthorOfPublication.latestForDiscoveryb69fef41-b7b3-4dca-ab38-2d75579146a4

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