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W e l c o m e
Course aims
- Day 1 - Introduction to the use of Monte Carlo methods, Bayesian methods, Markov chain Monte Carlo, regression models, and implementation in WinBUGS
- Day 2 - Generalised linear models, predictions, missing data, model criticism, model comparison and assessing sensitivity to prior distributions, introduction to hierarchical models.
Target audience
- Statisticians working in any application area, with familiarity of classical methods such as generalised linear and random-effects modelling.
- No experience of Bayesian methods or specialist software will be assumed - however it will help greatly if you have downloaded WinBUGS and worked through the Tutorial
Faculty
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