Modifying copulas for improved dependence modelling

dc.contributor.authorLe Roux, Colette
dc.contributor.authorDe Waal, Alta
dc.date.accessioned2020-05-15T07:56:46Z
dc.date.available2020-05-15T07:56:46Z
dc.date.issued2019
dc.description.abstractIn 2007 and 2008, underestimation of correlations and risks, as well as the misuse of dependence models, lead to the financial crisis. This highlighted the need to improve dependence modelling through both the correlation parameter and choice of model used. Copulas are useful for modelling dependence patterns in multivariate data, as well as prediction in regression analysis.en_ZA
dc.description.departmentStatisticsen_ZA
dc.description.librarianam2020en_ZA
dc.description.urihttp://sherpa.ac.uk/romeo/issn/1613-0073/en_ZA
dc.description.urihttp://ceur-ws.orgen_ZA
dc.identifier.citationLe Roux, C. & De Waal, A. 2019, 'Modifying copulas for improved dependence modelling', CEUR Workshop Proceedings, vol. 2540, pp. 1-3.en_ZA
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/2263/74597
dc.language.isoenen_ZA
dc.publisherCEUR Workshop Proceedingsen_ZA
dc.rights© 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en_ZA
dc.subjectCopulaen_ZA
dc.subjectCopula processesen_ZA
dc.subjectGaussian processesen_ZA
dc.subjectVine copulasen_ZA
dc.subjectBayesian methodsen_ZA
dc.titleModifying copulas for improved dependence modellingen_ZA
dc.typeArticleen_ZA

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