Remarks on learning hybrid Bayesian networks from data for medical research

In this thesis, we learn the structure of a hybrid Bayesian network (mixed continuous and discrete) for a small data set and learn the parameters. We segment the learning process in distinct steps and evaluate the possible options for each step. After a short introduction into the theory of Bayesian networks, we cover the topics: data...