Trans-dimensional and Approximate Bayesian Computation. Many applied scientists in Australia, particularly those in the biological, medical and environmental sciences are now interested in incorporating Bayesian statistical methodologies into their research.
The development of more generic and efficient Bayesian statistical methods will not only benefit applied statisticians but also the more occasional users of statistics in other disciplinary areas. The success of this project will enhance Au ....Trans-dimensional and Approximate Bayesian Computation. Many applied scientists in Australia, particularly those in the biological, medical and environmental sciences are now interested in incorporating Bayesian statistical methodologies into their research.
The development of more generic and efficient Bayesian statistical methods will not only benefit applied statisticians but also the more occasional users of statistics in other disciplinary areas. The success of this project will enhance Australia's reputation as a strong contributor to the development of Bayesian methodologies. Two PhD students will also be provided training in computational Bayesian statistics.Read moreRead less
Advances in statistical methods for analysing high dimensional count data. This project will lay the methodological foundations for future studies of ecological communities world-wide: whether studying biodiversity; monitoring and testing for an environmental impact of human activities (such as mining or pollution); studying drivers of ecosystem change such as land use, feral animals or climate change. This project will develop and make available new analysis methods that are more readily interp ....Advances in statistical methods for analysing high dimensional count data. This project will lay the methodological foundations for future studies of ecological communities world-wide: whether studying biodiversity; monitoring and testing for an environmental impact of human activities (such as mining or pollution); studying drivers of ecosystem change such as land use, feral animals or climate change. This project will develop and make available new analysis methods that are more readily interpreted, more powerful and more flexible, and that enable the study of some research questions which are difficult or impossible to answer using current methods (e.g. understanding higher-order interactions at the community level). Future biostatisticians will be trained, partly addressing our critical national shortage.Read moreRead less