Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Bayesian model selection of structural explanatory models: application to road accident data
Year:2013
Research Areas
  • Mechanical aeronautics and naval engineering
Information
Abstract
Using the Bayesian approach as the model selection criteria, the main purpose in this study is to establish a practical road accident model that can provide a better interpretation and prediction performance. For this purpose we are using a structural explanatory model with autoregressive error term. The model estimation is carried out through Bayesian inference and the best model is selected based on the goodness of fit measures. To cross validate the model estimation further prediction analysis were done. As the road safety measures the number of the fatal accidents (monthly data) involving vans were employed.
International
No
Book Edition
Book Publishing
ISBN
978-84-695-9361-5
Series
Book title
I JORNADA SOBRE VEHÍCULOS Y TRANSPORTES:I+D+I EN LA UPM
From page
177
To page
186
Participants
  • Autor: Bahar Dadashova . (UPM)
  • Autor: Blanca del Valle Arenas Ramirez (UPM)
  • Autor: Jose Manuel Mira Mcwilliams (UPM)
  • Autor: Francisco Aparicio Izquierdo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inv. en Seguridad e Impacto Medioambiental de Vehículos y Transportes (GIVET)
  • Departamento: Ingeniería Mecánica y de Fabricación
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)