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Dynamic Bayesian Network Inferencing for Nonhomogenous Complex Systems

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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...