1. Brunel University Research Archive
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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20388
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dc.contributor.authorFan, Y-
dc.contributor.authorHuang, K-
dc.contributor.authorHuang, GH-
dc.contributor.authorLi, YP-
dc.date.accessioned2020-02-26T12:09:20Z-
dc.date.available2020-04-01-
dc.date.available2020-02-26T12:09:20Z-
dc.date.issued2020-02-04-
dc.identifier.citationFan, Y., Huang, K., Huang, G.H. and Li, Y.P. (2020) 'A factorial Bayesian copula framework for partitioning uncertainties in multivariate risk inference', Environmental research, 183, 109215, pp. 1 - 14. doi: 10.1016/j.envres.2020.109215.en_US
dc.identifier.issn0013-9351-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/20388-
dc.description.sponsorshipNational Key Research and Development Plan; Natural Sciences Foundation of China; Natural Science and Engineering Research Council of Canadaen_US
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectflood risken_US
dc.subjectcopulaen_US
dc.subjectMarkov chain Monte Carloen_US
dc.subjectfactorial analysisen_US
dc.subjectuncertaintyen_US
dc.titleA factorial Bayesian copula framework for partitioning uncertainties in multivariate risk inferenceen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.envres.2020.109215-
dc.relation.isPartOfEnvironmental Research-
pubs.publication-statusPublished-
pubs.volume183-
dc.identifier.eissn1096-0953-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Embargoed Research Papers

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