Statistics
- Decision Theory
- Model-based Clustering
Head of Discipline: Professor Simon Wilson
Our research is focussed around Bayesian inference and decision theory, especially as with regard to streaming data, scalable algorithms (Big Bayes), adaptive utility and sequential decision making. Application areas include ecology, astronomy, social networks, risk and reliability. Recent research highlights of the Discipline include developments in statistical methods to separate the Cosmic Microwave Background (CMB) and reconstructing palaeoclimate.
Faculty members
Member | Research Interests | Publications |
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Recently we have restructured our disciplines. Please click here to find a listing of all staff and students involved in the new disciplines.