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...
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...
Simon Luo, Postdoctoral Research Fellow, Data Analytics for Resources & Environments (DARE) ARC Centre Machine learning models increase their representational power by increasing the number of parameters in the model. The number of parameters in the model can be increased by introducing hidden nodes, higher-order...
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...
DARE Celebration of Community and Collaborations, a networking opportunity for DARE HDRs, staff, partners, and collaborators.
Statistical Models to Incorporate Heterogeneity in Spatio-temporal Prediction by Clara Grazian Abstract Dirichlet processes and their extensions have reached great popularity in Bayesian nonparametric statistics. They have also been introduced for spatial and spatio-temporal data, as a tool to analyse and predict surfaces. A...
Multi-disciplinarity in Mathematical & Computational tools Abstract Dr Portes will be talking about his multi-disciplinary scientific career and experience, connecting everything into a coherent narrative under the umbrella concept of "data science". Specifically, it is a story about the development, adaptation and application of mathematical/computational...
The ARC Training Centre in Data Analytics for Resources and Environments will be showcasing work from our multidisciplinary, world-class data scientists and collaborations with partner organisations.