Statistics research projects
Research interests within the Statistics group cover a wide spectrum which fall into six broad themes. These are detailed on our Statistics research pages.
On this page we provide brief information about some projects that may be of interest to new research students, research fellows, and others.
|Automatic clustering for light curves of stars PDF, 86 KB
||Supervisor(s): Dr Alfred Kume
|Bayesian Modelling for complex measurement problems in process industries PDF, 270 KB
||Supervisor(s): Dr Xue Wang
|Bayesian modelling for cyber-security problems PDF, 11 KB
||Supervisor(s): Dr Cristiano Villa
|Bayesian nonparametric models for the study of migration patterns of UK bird populations PDF, 108 KB
||Supervisor(s): Dr Eleni Matechou
|Complex statistical models of large health-related datasets: multiple risks factors for non-communicable diseases PDF, 346 KB
||Supervisor(s): Dr James Bentham
|Computational methodologies for state-space models: A Big-Data challenge PDF, 12 KB
||Supervisor(s): Dr Rachel McCrea, Dr Cristiano Villa
|Modelling changes in abundance of species over space and time in island ecosystems PDF, 358 KB
||Supervisor(s): Dr Rachel McCrea, Dr Lianne Concannon/Dr Nik Cole (Durrell Wildlife Conservation Trust)
|On multivariate nonparametric additive models with applications to anticancer drug studies PDF, 78 KB
||Supervisor(s): Prof Jian Zhang
|Parameter redundancy in Ecological Models
||Supervisor(s): Dr Diana Cole
|Using Bayesian functional data analysis to understand the effect of training on performance in sport PDF, 98 KB
||Supervisor(s): Prof Jim Griffin/Dr James Hopker
In the 2014 Research Excellence Framework (REF) 72% of the School's research output was assessed as International Quality or above. The School is in the top 25 in the UK when considered on weighted GPA.
Collaborative and interdisciplinary research are particular strengths.