Bayesian Learning

Programme Goals

The Bayesian Learning Programme comprises researchers from Engineering, Mathematics, Machine Learning and Statistics backgrounds, reflecting the strong interdisciplinary nature of the Centre. In 2007 the Programme focused on the following four research themes: Parametric Bayesian Modelling, Bayesian Nonparametrics, Complex Systems and Bayesian Computation. Applications of this research included problems in genetics,environment and environmental health.

The Bayesian Learning Program is located in two nodes: one at QUT Brisbane, led by CI Mengersen, and the other at the University of Newcastle, led by Dr King and Professor John Raynor.

Major research activities in 2007 included development of theoretical, computational and applied Bayesian methods and models, publication of outputs in the form of journal articles and conference papers, conduct of an international workshop and professional short courses, participation in international conferences, hosting of international visitors, visits to international laboratories, supervision of postgraduate students and collaboration with other members of CDSC.

Projects

• Parametric Bayesian Modelling
• Bayesian Nonparametrics
• Complex Models
• Computational Methods