A Bayesian network can be used to extract and encode knowledge from
statistical data by using Bayesian statistical techniques. It has been
shown to be remarkably effective when dealing with many data analysis
problems. Two major advantages of using Bayesian network are its
capabilities of handling incomplete data and learning causal
relationship from a number of variables of interests. In this talk, we
will discuss how to construct Bayesian networks from prior knowledge
and how to apply Bayesian statistical methods on data sets in order to
improve these models.
Additional items of interest: