To develop and validate a Bayesian belief network algorithm for the differential diagnosis of anterior uveitis. The 11 most common etiologies were included (idiopathic, ankylosing spondylitis ...

We propose a method for the computational inference of directed acyclic graphical structures given data from experimental interventions. Order-space Markov chain Monte Carlo, equi-energy sampling, ...

In this paper we describe the use of hybrid dynamic Bayesian networks (HDBNs) to model the operational risk faced by financial institutions in terms of economic capital. We describe a methodology for ...