Bayesian Methodology for Complex Models
The statistics research group has a long track-record of research in Bayesian statistics.
Expertise across diverse areas
We have a particular focus on computational approaches. We have expertise in the construction and analysis of complex hierarchical models.
Interests lie across a very diverse range of areas. Some highlights include:
- stochastic differential equation models
- sequential Monte Carlo algorithms
- Bayesian solutions for models with intractable likelihood
- Bayesian inference for phylogenetic trees
- Bayesian analysis of ranked data
- prior specification and elicitation
