This research applies the Bayesian methodologies, a forefront in statistical research, to modelling extreme environmental events. It provides a unique contribution by introducing a novel idea of using Bayesian model averaging techniques to account for uncertainty in the form of extremal dependencies in multivariate modelling aspects. The research also goes into great details about statistical extreme value analyses and the challenges of handling extreme events at different spatial locations where dependencies may exist between them. The current state of science for extreme value analyses of spatial processes are made and clearly demonstrated.
History
Thesis type
Thesis (PhD)
Thesis note
A thesis submitted in total fulfillment of the requirement for the degree of Doctor of Philosophy, Swinburne University of Technology, 2012.