DIVISIVE CONDITIONING - FURTHER RESULTS ON DILATION

Conditioning can make imprecise probabilities uniformly more imprecise . We call this effect ''dilation''. In a previous paper (1993), Seiden feld and Wasserman established some basic results about dilation. In t his paper we further investigate dilation on several models. In partic ular, we consider conditions under which dilation persists under margi nalization and we quantify the degree of dilation. We also show that d ilation manifests itself asymptotically in certain robust Bayesian mod els and we characterize the rate at which dilation occurs.