Bayesian statistics is a major area of statistical endeavour which has hugely increased its profile, in theory and applications, in recent years. In particular, Bayesian methods have come to the forefront of practical statistics via the computer revolution and, especially, because of the introduction in the 1990s of a class of computational techniques called Markov Chain Monte Carlo methods.
Aims and Objectives
- to stimulate and facilitate research into the theory and applications of Bayesian statistical methods
- to foster collaborative research, where appropriate
- to draw attention to the large range of expertise the Department can call on in this area