Bayesian inference and model comparison for random choice structures
dc.contributor.author | McCausland, William J. | |
dc.contributor.author | MARLEY, A. A. J. | |
dc.date.accessioned | 2013-08-21T15:02:59Z | |
dc.date.available | 2013-08-21T15:02:59Z | |
dc.date.issued | 2013-07 | |
dc.identifier.uri | http://hdl.handle.net/1866/9776 | |
dc.publisher | Université de Montréal. Département de sciences économiques. | fr |
dc.subject | Random utility | |
dc.subject | Discrete choice | |
dc.subject | Bayesian inference | |
dc.subject | MCMC | |
dc.title | Bayesian inference and model comparison for random choice structures | fr |
dc.type | Article | fr |
dc.contributor.affiliation | Université de Montréal. Faculté des arts et des sciences. Département de sciences économiques | |
dcterms.abstract | We complete the development of a testing ground for axioms of discrete stochastic choice. Our contribution here is to develop new posterior simulation methods for Bayesian inference, suitable for a class of prior distributions introduced by McCausland and Marley (2013). These prior distributions are joint distributions over various choice distributions over choice sets of di fferent sizes. Since choice distributions over di fferent choice sets can be mutually dependent, previous methods relying on conjugate prior distributions do not apply. We demonstrate by analyzing data from a previously reported experiment and report evidence for and against various axioms. | fr |
dcterms.isPartOf | urn:ISSN:0709-9231 | |
dcterms.language | eng | fr |
UdeM.VersionRioxx | Version publiée / Version of Record | |
oaire.citationTitle | Cahier de recherche | |
oaire.citationIssue | 2013-06 |
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