The statistics and probability group consists of the following members of staff, with a summary of their main research interests; click on the names for more detailed information about us and our individual research interests.         Professors     Michael Goldstein - Bayes (linear) methods, decision theory, foundations, Bayesian methods for software testing, Bayesian analysis of large scale physical systems.     Mikhail Menshikov - Markov chains.     Frank Coolen - Foundations, nonparametric predictive inference, imprecise probability, Bayesian methods, reliability theory, software testing.         Senior Lecturers     Allan Seheult - Bayesian analysis of large scale physical systems, robust analysis of designed experiments.     David Wooff - Bayes linear methods, graphical models, applied statistics, Bayesian methods for software testing.         Lecturers     Pauline Coolen-Schrijner - Quasi-stationarity of Markov chains, queuing theory, nonparametric predictive inference for maintenance and replacement strategies.     Peter Craig - Statistical computing environments, spatial statistics, applied Bayes methods, uncertainty analysis.     Ostap Hryniv - Limit theorems, probabilistic analysis of large complex systems     Iain MacPhee - Stochastic decision processes, applied probability, communication network modelling.         Other Full-time Staff     Jonathan Rougier (Research Fellow) - Probabilistic inference for complex physical systems.     John Little - Bayes linear approach to complex dynamic models.         Graduate Students     Ali Al-Alwan     Nashad Auchoybur (part-time)     Richard Crossman     Jonathan Cumming - Clinical decision support.     Laura Dow     Gavin Hardman     Brett Houlding - Decision theory and utility     Alicia Huntress     Anesee Ibrahim     Victoria Montgomery     Lisa Müller     Rebecca O'Neil     Goncalo Almeida Santos (part-time) - Nonparametric predictive methods in queuing     Majid Sarmad - Statistical software, experimental designs and response surface methodology     Jennifer Smithson         Recent graduates     Daphne Mouzaki     Maha Rahrouh - Reliability prediction for processes after testing.     Andrew Wade - Applied probability.