Dynamic Bayesian Network Inferencing for Nonhomogenous Complex Systems
Distinguished Professor Kerrie Mengersen, Queensland University of Technology Dynamic Bayesian networks (DBNs) provide a versatile method for predictive, whole-of-systems modelling to support decision makers in managing natural systems subject to anthropogenic disturbances. However, DBNs typically assume a homogeneous Markov chain which we show can...