Bayesian model selection of structural explanatory models.
| Data(s) |
2014
|
|---|---|
| Resumo |
In this study we are proposing a Bayesian model selection methodology, where the best model from the list of candidate structural explanatory models is selected. The model structure is based on the Zellner's (1971)explanatory model with autoregressive errors. For the selection technique we are using a parsimonious model, where the model variables are transformed using Box and Cox (1964) class of transformations. |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
E.T.S.I. Industriales (UPM) |
| Relação |
http://oa.upm.es/33319/1/BAYESIAN%20MODEL.pdf http://tra2014.sciencesconf.org/ info:eu-repo/semantics/altIdentifier/doi/null |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| Fonte |
TRA2014 Transport Research Arena 2014 Transport Solutions: from Research to Deployment - Innovate Mobility, Mobilise Innovation! | TRA2014 Transport Research Arena 2014 Transport Solutions: from Research to Deployment - Innovate Mobility, Mobilise Innovation! | 14/04/2014 - 17/04/2014 | Paris La Défense (France) |
| Palavras-Chave | #Transporte |
| Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada NonPeerReviewed |
