Discovery Projects - Grant ID: DP0558199

Funding Activity

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Funded Activity Summary

Bayesian Statistical Inference for Implicitly defined Probability Models. Bayesian statistics has recently been used to provide solutions for a large number of hitherto intractable problems in science and technology. The success of Bayesian statistics has mainly been due to the application of so-called Markov chain Monte Carlo computational techniques. We aim to improve these algorithms, by providing fast, simple and efficient computational implementations. We will use the results to give insight by carefully quantifying and modelling uncertainty for such topics as the transmission rate of infectious diseases, the spatial distribution of plant and animal species, investigating biological theory for the genome of a virus, and changes in human fertility.

Funded Activity Details

Start Date: 16-02-2005

End Date: 31-12-2009

Funding Scheme: Discovery Projects

Funding Amount: $348,000.00

Funder: Australian Research Council