An Application of Bayesian Model Averaging Approach to Traffic Accidents Data Over Hierarchical Log-Linear Models
Volume 7, Issue 4 (2009), pp. 497–511
Pub. online: 4 August 2022
Type: Research Article
Open Access
Open Access
Published
4 August 2022
4 August 2022
Abstract
Abstract: In this article, a Bayesian model averaging approach for hier archical log-linear models is considered. Posterior model probabilities are approximately calculated for hierarchical log-linear models. Dimension of interested model space is reduced by using Occam’s window and Occam’s razor approaches. 2002 road traffic accident data of Turkey is analyzed by using the considered approach