PhDs in Statistics

This page lists potential topics for PhDs in Statistics, together with links to their supervisors' pages.  If you are interested in a topic, we suggest that you start by contacting the relevant supervisor, making it clear your interest in that topic; they will then be able to give you some advice on your application.

• Accelerating virtual population inference in immuno-oncology through data-efficient multi-fidelity modelling (Wei Xing). See this project on FindAPhD 

• Extending statistical methodology for multi-model ensembles (Paul Blackwell) See this project on FindAPhD 

• Stochastic modelling of animal movement and resource selection (Paul Blackwell)

• Applications of Bayesian statistics in archaeology (Caitlin Buck)

• Eliciting probability distributions from experts (Jeremy Oakley)

• Uncertainty quantification for complex computer models (Jeremy Oakley)

• Bayesian methods for portfolio optimisation (Kostas Triantafyllopoulos)

• Particle filters for high dimensional data (Kostas Triantafyllopoulos)

• Dynamic modelling of spatio-temporal non-Gaussian processes (Kostas Triantafyllopoulos)