University of Nottingham

University of Nottingham

Statistics and Probability

Research carried out in this group falls into 4 categories: Applied and theoretical probability: mathematical finance; stochastic analysis and diffusions on manifolds; semi-Markov processes; probability inequalities; limit theorems under dependence; stochastic optimal control; Markov decision processes; ion channel models. Epidemic modelling: developing and analysing stochastic epidemic models; statistical inference for infectious disease data. Shape and image analysis: high-level Bayesian image analysis; medical image analysis; spatio-temporal modelling; texture analysis; nonparametric inference in shape analysis. Statistical theory and computation: asymptotic techniques; Bayesian inference; nonparametric methods including empirical likelihood and the bootstrap; saddlepoint approximations; spatial statistics; Markov chain Monte Carlo methods; Laplace transform-based inference; inference for ordinary and stochastic differential equations.

Course modules

Assessment methods

Qualifications

Qualification Study mode Start month Fee Course duration
PhD Full-time - 3 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
University Park Campus Nottingham NG7 2RJ East Midlands

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