The Department of Statistics at Warwick is a vibrant community of researchers with expertise ranging from probability theory through statistical methodology to applications in many areas of science. Facilities for computer-intensive statistical methods are first class, and include a high-performance cluster dedicated to statistical computation.
Researchers in Statistics with interests aligned with WASC activity include:
Dr John Aston - Analysis of images, including Scanning Electron Microscopy images and Magnetic Resonance images. In particular, he has published work on incorporating rigorous statistical methodology for the analysis of time series of images, as well as using statistical techniques to enable resolution recovery.
- generalized linear nonlinear statistical modelling
- measurement and missing-data problems
- handling complex error structures
- optimum design of experiments
- the use of Ising models based on quad-trees in multiresolution image analysis;
- application of models for random lines in construction of efficient networks;
- inference of fibre structure from associated point sets.
- multiple testing procedures that are sensitive to spatial signals while strictly controlling false positive risk
- point process models that account intersubject heterogeneity in location of signal
- meta-analysis for data taking the form of a spatial point process
- Bayesian statistics
- Inference for stochastic processes
- Network inference for protein microarray data
- Bayesian model selection and model averaging
- Stochastic processes and applied probability
- Stochastic epidemic models
- Outbreak detection methods