Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13235
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dc.contributor.authorPERRAKIS, Konstantinos-
dc.contributor.authorKARLIS, Dimitris-
dc.contributor.authorCOOLS, Mario-
dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2012-02-28T13:54:55Z-
dc.date.available2012-02-28T13:54:55Z-
dc.date.issued2012-
dc.identifier.citation27th International Workshop on Statistical Modelling, Prague, Czech Republic, 16-20 July 2012-
dc.identifier.urihttp://hdl.handle.net/1942/13235-
dc.description.abstractWe propose a statistical modeling approach as a viable alternative to traditional transportation models concerning inference on origin-destination (OD) matrices. To this end we utilize Poisson mixtures in order to model a large over-dispersed OD matrix derived from the 2001 Belgian travel census. Bayesian methods are using a novel Poisson-inverse Gaussian model. As shown the model has desirable attributes both in its marginal and in its hierarchical form.-
dc.language.isoen-
dc.subject.otherOD matrix; Poisson mixtures; Poisson-inverse Gaussian-
dc.titlePoisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices-
dc.typeConference Material-
local.bibliographicCitation.conferencedate16-20 July 2012-
local.bibliographicCitation.conferencename27th International Workshop on Statistical Modelling-
local.bibliographicCitation.conferenceplacePrague, Czech Republic-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedPaper-
dc.bibliographicCitation.oldjcatC3-
item.fulltextWith Fulltext-
item.contributorWETS, Geert-
item.contributorPERRAKIS, Konstantinos-
item.contributorKARLIS, Dimitris-
item.contributorCOOLS, Mario-
item.contributorJANSSENS, Davy-
item.fullcitationPERRAKIS, Konstantinos; KARLIS, Dimitris; COOLS, Mario; JANSSENS, Davy & WETS, Geert (2012) Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices. In: 27th International Workshop on Statistical Modelling, Prague, Czech Republic, 16-20 July 2012.-
item.accessRightsOpen Access-
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