DescriptionThe aim of this project is to gain an understanding of the Bayesian approach to statistical analysis by developing applications which explore the interplay between modelling, prior specification, data analysis and sensitivity analysis. These applications will be chosen to reflect the interests of the student, and may cover areas such as industrial inspection, luminescence dating, software reliability, environmental remediation, computer experiments.Prerequisites3H Statistical Methods, and some experience with R.ResourcesSelected readings will be provided to describe the various problem areas and the relevant Bayesian background. |
email: Michael Goldstein