The Statistics and Probability Group
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.
Michael Goldstein - Bayes (linear) methods, decision theory, foundations, Bayesian methods for software testing, Bayesian analysis of large scale physical systems.
Frank Coolen - Foundations, nonparametric predictive inference, imprecise probability, Bayesian methods, reliability theory, software testing.
Mikhail Menshikov - Markov processes, random walks, processes in random media, percolation.
David Wooff- Bayes linear methods, graphical models, applied statistics, Bayesian methods for software testing.
Ian Jermyn - Shape modelling, spatial statistics, Bayesian estimation theory and algorithms, image processing.
Peter Craig- Statistical computing environments, spatial statistics, applied Bayes methods, uncertainty analysis.
Jochen Einbeck - Local smoothing, principal curves, multi-valued regression, random effect modelling.
Matthias Troffaes - Decision making, uncertainty modelling, imprecise probabilities, dynamic programming, unbounded utility, aggregation, machine learning.
Andrew Wade - Random walks, random structures, interacting particle systems.
Other Research Staff
Nashad Auchoybur (part-time)
Loic Cosyn (distance, part-time)
Noryanti Binti Muhamad
Willem Roelofs (part-time)
Hermes da Silva Junior
Former members of the group
Pauline Coolen-Schrijner (deceased)
Iain M. MacPhee (deceased)
Miss Shiler Khedri