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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

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