This paper presents a methodological disaggregated approach to analyze the impact of interventions on road safety. The model aims to describe the accident rates of an individual using mileage as a measure of risk exposure. The model is formulated as a system of equations that takes into account...

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...

This paper considers the problem of estimating a nonlinear statistical model subject to stochastic linear constraints among unknown parameters. These constraints represent prior information which originates from a previous estimation of the same model using an alternative database. One feature...

In Japan, demands for Broadband Internet Access and Internet Telephony have increased dramatically in recent years. According to official sources, as of September 2005, there were 21.4 million users of Broadband Internet Access and 9.76 million IP telephones in use. In this study, we employ a...

In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian stimation. This paper summarizes these developments and discusses their...