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Methods for estimating the upcrossings index: improvements and comparison

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Resumo:The 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.
Autores principais:Martins, Ana Paula
Outros Autores:Sebastião, João Renato
Assunto:Upcrossings index Blocks estimators Runs estimators Dependence conditions Consistency and asymptotic normality
Ano:2017
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Castelo Branco
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico de Castelo Branco
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author Martins, Ana Paula
author2 Sebastião, João Renato
author2_role author
author_facet Martins, Ana Paula
Sebastião, João Renato
author_role author
contributor_name_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
country_str PT
creators_json_txt [{\"Person.name\":\"Martins, Ana Paula\",\"Person.identifier.orcid\":\"0000-0002-3908-821X\"},{\"Person.name\":\"Sebastião, João Renato\",\"Person.identifier.orcid\":\"0000-0003-4175-010X\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
datacite.creators.creator.creatorName.fl_str_mv Martins, Ana Paula
Sebastião, João Renato
datacite.date.Accepted.fl_str_mv 2017-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2019-10-11T13:40:32Z
datacite.date.embargoed.fl_str_mv 2019-10-11T13:40:32Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Upcrossings index
Blocks estimators
Runs estimators
Dependence conditions
Consistency and asymptotic normality
datacite.titles.title.fl_str_mv Methods for estimating the upcrossings index: improvements and comparison
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.creator.none.fl_str_mv Martins, Ana Paula
Sebastião, João Renato
dc.date.Accepted.fl_str_mv 2017-01-01T00:00:00Z
dc.date.available.fl_str_mv 2019-10-11T13:40:32Z
dc.date.embargoed.fl_str_mv 2019-10-11T13:40:32Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.11/6700
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Upcrossings index
Blocks estimators
Runs estimators
Dependence conditions
Consistency and asymptotic normality
dc.title.fl_str_mv Methods for estimating the upcrossings index: improvements and comparison
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The 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.
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eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://repositorio.ipcb.pt/bitstreams/e37675bc-6fd1-4be6-83e4-7a85b6ac2ac8/download
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oai_identifier_str oai:repositorio.ipcb.pt:10400.11/6700
organization_str_mv urn:organizationAcronym:ipcb
person_str_mv Martins, Ana Paula
Martins, Ana Paula
https://www.ciencia-id.pt/C51F-68CB-1DE2
C51F-68CB-1DE2
http://orcid.org/0000-0002-3908-821X
0000-0002-3908-821X
Sebastião, João Renato
Sebastião, João Renato
https://www.ciencia-id.pt/1D19-51EE-EE14
1D19-51EE-EE14
http://orcid.org/0000-0003-4175-010X
0000-0003-4175-010X
publishDate 2017
reponame_str Repositório Científico do Instituto Politécnico de Castelo Branco
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spelling engpt_PTThe 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.application/pdfpt_PTMethods for estimating the upcrossings index: improvements and comparisonPersonalMartins, Ana PaulaDSpacehttp://dspace.org/items/b69fef41-b7b3-4dca-ab38-2d75579146a4DSpacehttp://dspace.org/items/b69fef41-b7b3-4dca-ab38-2d75579146a4MartinsAna PaulaCiência IDhttps://www.ciencia-id.ptC51F-68CB-1DE2ORCIDhttp://orcid.org0000-0002-3908-821XResearcher IDhttps://www.researcherid.comN-9824-2013Scopus Author IDhttps://www.scopus.com8585872500Scopus Author IDhttps://www.scopus.com56362393000PersonalSebastião, João RenatoDSpacehttp://dspace.org/items/6f73697a-76e0-419b-b628-6641c1297e8aDSpacehttp://dspace.org/items/6f73697a-76e0-419b-b628-6641c1297e8aSebastiãoJoão RenatoCiência IDhttps://www.ciencia-id.pt1D19-51EE-EE14ORCIDhttp://orcid.org0000-0003-4175-010XScopus Author IDhttps://www.scopus.com35213824400HostingInstitutionOrganizationalRepositório Científico do Instituto Politécnico de Castelo Brancoe-mailmailto:repositorio@ipcb.ptrepositorio@ipcb.ptDOIIsPartOf10.1007/s00362-017-0876-x2019-10-11T13:40:32Z20172017-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.11/6700http://purl.org/coar/access_right/c_abf2open accessUpcrossings indexBlocks estimatorsRuns estimatorsDependence conditionsConsistency and asymptotic normality722500 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2017http://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipcb.pt/bitstreams/e37675bc-6fd1-4be6-83e4-7a85b6ac2ac8/downloadStatistical Papers60413171347
spellingShingle Methods for estimating the upcrossings index: improvements and comparison
Martins, Ana Paula
Upcrossings index
Blocks estimators
Runs estimators
Dependence conditions
Consistency and asymptotic normality
status SINGLETON
subject.fl_str_mv Upcrossings index
Blocks estimators
Runs estimators
Dependence conditions
Consistency and asymptotic normality
title Methods for estimating the upcrossings index: improvements and comparison
title_full Methods for estimating the upcrossings index: improvements and comparison
title_fullStr Methods for estimating the upcrossings index: improvements and comparison
title_full_unstemmed Methods for estimating the upcrossings index: improvements and comparison
title_short Methods for estimating the upcrossings index: improvements and comparison
title_sort Methods for estimating the upcrossings index: improvements and comparison
topic Upcrossings index
Blocks estimators
Runs estimators
Dependence conditions
Consistency and asymptotic normality
topic_facet Upcrossings index
Blocks estimators
Runs estimators
Dependence conditions
Consistency and asymptotic normality
url http://hdl.handle.net/10400.11/6700
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