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...

MODSIM 2021

The 24th International Congress on Modelling and Simulation (MODSIM2021) incorporating the 2nd Regional International Environmental Modelling and Software Society (iEMSs) meeting will be held at The University of Sydney and International Convention Centre Sydney, Darling Harbour, from Sunday 5 to Thursday 9 December 2021 with...