Bayesian mixture modelling for characterising environmental exposures and outcomes
Wraith, Darren (2008) Bayesian mixture modelling for characterising environmental exposures and outcomes. .
Environmental exposure and outcomes assessment is a great challenge to scientists. Increasingly more and more detailed data are becoming available to understand the nature and complexity of the relationships involved. The methodology of mixture models provides a means to understand, quantify and describe features and relation- ships within complex data sets. In this thesis, we focussed on a number of applied problems to characterise complex environmental exposure and outcomes, including: assessing the interaction between environmental exposures as risk factors for health outcomes; identifying di®ering environmental outcomes across a region; and estab- lishing patterns in the size and concentration of aerosol particles over time. Mixture model approaches to address these problems are developed and examined for their suitability in these contexts.
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|Item Type:||QUT Thesis (PhD)|
|Supervisor:||Mengersen, Kerrie, Alston, Clair, & Tong, Shilu|
|Keywords:||Bayesian mixture modelling, environmental exposure|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Institution:||Queensland University of Technology|
|Deposited On:||04 Mar 2009 12:39|
|Last Modified:||29 Oct 2011 05:52|
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