About Durham and the Group

Home to a UNESCO World Heritage site, Durham boasts heritage, beauty and convenience, being only a small city everything is easily accessible. With the city situated on the River Wear, Durham offers extraordinary beauty, featuring old buildings, narrow cobbled streets winding their way around the rocky peninsula leading up to the majestic Norman Cathedral and Castle.

Durham is a small and compact city, and everything is within easy walking distance. With a multitude of cafes, bars and restaurants, museums, gardens and churches there is plenty to explore^2. Just minutes from the bustling centre, you can enjoy the tranquillity of leafy riverside footpaths along the banks of the River Wear, or the changing seasonal displays at the Botanic Garden. The Oriental and Archaeological Museums hold fascinating collections of international significance, as well as offering key insights into local history.

Durham City and University maps:


The Statistics and Probability research group carries out research in a wide variety of research areas. Our interests range from probability theory, through statistical methodology and computation, to substantive applications in many different fields. The interests of the group cover a wide range of topics associated with statistics and probability. Here we give a brief description indicating a few main topics of interest.


Areas of particular research interest in Statistics include:

Bayesian statistics, with specific expertise in Bayes linear methods and uncertainty quantification for computer models;
Nonparametric statistics, including smoothing and predictive inference;
Statistical modelling of structure, geometry, and shape;
Foundations of statistics and decision theory, with specific attention to generalised uncertainty quantification including imprecise probability;
Applied statistics for large-scale applications in a wide range of contexts, which include: banking, cosmology, digital commerce, energy, ecotoxicology, food saftey, image and biomolecular data, petroleum and other engineering, reliability, risk assessment, and systems biology.


Areas of particular research interest in Probability include:

Stochastic processes and their applications, including Markov processes, random walks, processes in random media, and self-interacting processes.
Complex stochastic systems and phase transitions, including random fields, percolation, processes in random environments, polymers, interacting particle systems, and other models inspired by statistical mechanics, biology, chemistry, etc.
Random structure and geometrical probability, including random networks, random graphs or hypergraphs, and combinatorial structures constructed on random points in space.

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