Developing the next generation of robust Bayesian networks: theory and efficient inference algorithms for mixed credal networks Ghent University
Credal networks are Bayesian networks with imprecise (interval-valued) local probabilities, thereby allowing for robust inferences. This project develops a new type of credal networks, called mixed credal networks. The advantage of this new type is that they do not suffer from the typical computational problems that occur for other types, which allows us to develop efficient inference algorithms.