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dc.contributor.authorWilson, Simon
dc.contributor.authorBhattacharya, Arnab
dc.contributor.authorSoyer, Refik
dc.date.accessioned2019-12-20T11:35:13Z
dc.date.available2019-12-20T11:35:13Z
dc.date.created2019en
dc.date.issued2019
dc.date.submitted2019en
dc.identifier.citationBhattacharya, A., Wilson, S.P. & Soyer, R., A Bayesian approach to modeling mortgage default and prepayment, European Journal of Operational Research, 274, 3, 2019, 1112 - 1124en
dc.identifier.otherY
dc.descriptionPUBLISHEDen
dc.description.abstractIn this paper we present a Bayesian competing risk proportional hazards model to describe mortgage defaults and prepayments. We develop Bayesian inference for the model using Markov chain Monte Carlo methods. Implementation of the model is illustrated using actual default/prepayment data and additional insights that can be obtained from the Bayesian analysis are discussed.en
dc.format.extent1112en
dc.format.extent1124en
dc.language.isoenen
dc.relation.ispartofseriesEuropean Journal of Operational Research;
dc.relation.ispartofseries274;
dc.relation.ispartofseries3;
dc.rightsYen
dc.subjectReliabilityen
dc.subjectPoportional hazards modelen
dc.subjectCompeting risksen
dc.subjectMCMCen
dc.titleA Bayesian approach to modeling mortgage default and prepaymenten
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/swilson
dc.identifier.rssinternalid204128
dc.identifier.doihttp://dx.doi.org/10.1016/j.ejor.2018.10.047
dc.rights.ecaccessrightsopenAccess
dc.identifier.rssurihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85056344764&doi=10.1016%2fj.ejor.2018.10.047&partnerID=40&md5=e9031c5f46c5843af8d5b953f6c62c77
dc.identifier.orcid_id0000-0003-0312-3586
dc.identifier.urihttp://hdl.handle.net/2262/91215


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