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ORCID: https://orcid.org/0000-0003-0446-6417, Mira McWilliams, José Manuel
ORCID: https://orcid.org/0000-0001-6105-8714 and Aparicio Izquierdo, Francisco
ORCID: https://orcid.org/0000-0002-4872-7706
(2014).
Bayesian model selection methodology for road safety.
En: "8th International Conference on Computational and Financial Econometrics and 7th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics", 06/12/2014 - 08/12/2014, Pisa, Italy. ISBN 978-84-937822-4-5. p. 65.
| Título: | Bayesian model selection methodology for road safety |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 8th International Conference on Computational and Financial Econometrics and 7th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics |
| Fechas del Evento: | 06/12/2014 - 08/12/2014 |
| Lugar del Evento: | Pisa, Italy |
| Título del Libro: | CFE-ERCIM 2014. PROGRAMME AND ABSTRACTS |
| Fecha: | 2014 |
| ISBN: | 978-84-937822-4-5 |
| Materias: | |
| ODS: | |
| Escuela: | Instituto de Investigación del Automóvil (INSIA) (UPM) |
| Departamento: | Otro |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Road accidents are a very relevant issue in many countries and macroeconomic models are very frequently applied by academia and administrations to reduce their frequency and consequences. The selection of explanatory variables and response transformation parameter within the Bayesian framework for the selection of the set of explanatory variables a TIM and 3IM (two input and three input models) procedures are proposed. The procedure also uses the DIC and pseudo -R2 goodness of fit criteria. The model to which the methodology is applied is a dynamic regression model with Box-Cox transformation (BCT) for the explanatory variables and autorgressive (AR) structure for the response. The initial set of 22 explanatory variables are identified. The effects of these factors on the fatal accident frequency in Spain, during 2000-2012, are estimated. The dependent variable is constructed considering the stochastic trend component.
| ID de Registro: | 33310 |
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| Identificador DC: | https://oa.upm.es/33310/ |
| Identificador OAI: | oai:oa.upm.es:33310 |
| URL Oficial: | http://www.cfenetwork.org/CFE2014/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 09 Feb 2015 16:53 |
| Ultima Modificación: | 08 Feb 2023 09:15 |
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