What are Bayesian Networks?

Bayesian networks are computer models of probabilistic systems — that is, real-world systems operating under uncertainty. They have been applied to modeling a great variety of systems, including ecological, medical, and weather systems in our work (see www.norsys.com for a fuller range of applications possible).

Bayesian networks work by efficiently automating probability updating given observations. For example, they can rapidly update the probability of a disease given the outcome of a diagnostic test in a medical decision support application. For more information on Bayesian networks see: