Etas space–time modeling of chile triggered seismicity using covariates: Some preliminary results

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dc.contributor.authorChiodi, Marcello
dc.contributor.authorNicolis, Orietta
dc.contributor.authorAdelfio, Giada
dc.contributor.authorD’angelo, Nicoletta
dc.contributor.authorGonzàlez, Alex
dc.date.accessioned2023-07-08T15:39:17Z
dc.date.available2023-07-08T15:39:17Z
dc.date.issued2021-10
dc.descriptionIndexación: Scopus.es
dc.description.abstractChilean seismic activity is one of the strongest in the world. As already shown in previous papers, seismic activity can be usefully described by a space–time branching process, such as the ETAS (Epidemic Type Aftershock Sequences) model, which is a semiparametric model with a large time-scale component for the background seismicity and a small time-scale component for the triggered seismicity. The use of covariates can improve the description of triggered seismicity in the ETAS model, so in this paper, we study the Chilean seismicity separately for the North and South area, using some GPS-related data observed together with ordinary catalog data. Our results show evidence that the use of some covariates can improve the fitting of the ETAS model.es
dc.description.urihttps://www-scopus-com.recursosbiblioteca.unab.cl/record/display.uri?eid=2-s2.0-85116362657&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=5109d6ef586b15d7c2e19ca4f345af9a&sot=aff&sdt=cl&cluster=scofreetoread%2c%22all%22%2ct%2bscosubtype%2c%22ar%22%2ct&sl=61&s=AF-ID%28%22Universidad+Andr%c3%a9s+Bello%22+60002636%29+AND+SUBJAREA%28CENG%29&relpos=67&citeCnt=3&searchTerm=
dc.identifier.doi10.3390/app11199143
dc.identifier.issn20763417
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/51481
dc.language.isoeses
dc.publisherMDPIes
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectETAS modeles
dc.subjectModel selectiones
dc.subjectSemiparametric modelses
dc.subjectTriggered seismicityes
dc.titleEtas space–time modeling of chile triggered seismicity using covariates: Some preliminary resultses
dc.typeArtículoes
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