Bayesian mixture modelling for characterising environmental exposures and outcomes
Wraith, Darren (2008) Bayesian mixture modelling for characterising environmental exposures and outcomes. PhD thesis, Queensland University of Technology.
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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