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...

Data. Uncertain.

Online via Zoom

A two-day conference on Understanding and Quantifying uncertainty The phrase “these uncertain times”  has never seemed more relevant. In Australia in 2019/2020 we have ricocheted from one extreme event to another;  the worst bushfires on record; flooding in previously drought-stricken areas;  a global pandemic. What...