Applied Probability
The statistics research group has a long track-record of research in Applied Probability Bayesian statistics.
Expertise across diverse areas
The applied probability group works on development and analysis of probabilistic models in a wide range of applied fields. Models with non-Euclidean geometries are a frequent theme. Some key interests include:
- Branching-coalescing particle systems
- Diffusion processes
- Gaussian processes and reproducing kernel Hilbert spaces
- Phylogenetic trees
- Probabilistic numerics
