Skip to main content

Bayesian Methodology for Complex Models

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

Filter by staff position:

    Our People

    More about the statistics research group