Assistant Professor Edward Cripps's expertise is in the area of statistical theory and applications.
His research is focussed on applying statistical and deterministic model-based methods to complex processes, including engineering processes, to improve our understanding of them and to solve the challenges associated with these and other processes that generate big data.
In particular, Ed focuses on Bayesian methods, change point detection, computational statistics, model uncertainty and mixture models.
He is a member of the Centre of Applied Statistics and Co-director of the Complex Data Modelling Research Group
Ed also provides statistical consulting to industry and to the scientific community.