In this paper, we suggest to use a Gibbs sampler with data augmentation to estimate models based on incomplete longitudinal data which, in the extreme case where the sample is composed of independent cross-sections, corresponds to a situation that normally calls for pseudo-panel modeling. The...

The Multinomial Probit (MNP) model provides the most general framework to allow for interdependent alternatives in discrete choice analysis. The primary impediment to this methodology is related to the dimensionality of the response probabilities which are multifold normal integrals of about the...

In this paper, we describe a general full information Bayesian methodology to analyze road accident sites. The technique allows for the presence of deterministic and random heterogeneity together with spatial autocorrelation among neighboring sites. The suggested framework contains as subcases...

In this study, we propose a generalization of the error component formulation to model the correlation among the errors of a regression based on travel flow data. The error term is broken down into a sum of one component related to the origin zone, one component related to the destination zone...