We analyse the model in which the latent durations Ti are i.i.d. generated by a distribution F. The statistician observes Yi= min (ti, Ci) and Ai=1I {Ti <= Ci} where ci is a censoring time. The prior probability on F is a Dirichlet process Di (n0F0).

L'objectif de cet article est de presenter quelques reflexions methodologiques relatives a la prevision econometrique des effets de regroupement de bureaux distributeurs dans le secteur postal. Deux concepts de fonction de cout sont utilises dans un but de comparaison: la fontion de cout espere...

In this paper we analyse the problem of the modelling of individual transitions in presence of an incomplete sampling scheme. This problem is particularly cumbersome when a continuous-time scale is used for the modelling and when the model incorporates unobserved heterogeneity. This problem...