Welcome to The Centre for Probability, Statistics and Data Science
The centre covers three broadly overlapping main areas of research: probability, statistics and data science. Probability theory is a core topic within mathematics and a foundational aspect in much of the work of the centre. A broad range of areas within probability and applied probability are investigated from stochastic processes, understanding the properties of random mathematical structures including many applications to areas such as statistical physics, finance, etc. The centre also has a strong group of statisticians developing both statistical theory, e.g. Bayesian inference, methodologies, e.g. modelling of spatio-temporal data, and applications, e.g. biostatistics. Finally, the centre has in expertise of other aspects of data science including the foundations of machine learning, solving inverse systems as related to data, topological techniques, and others.
Recent Publications
- Pintado MF, Iacopini M, Rossini L and Shestopaloff A (2025). Bayesian Partial Reduced-Rank Regression. Journal of Computational and Graphical Statistics
03-01-2025 - Dong G, Flaschel M, Hintermüller M, Papafitsoros K, Sirotenko C and Tabelow K (2024). Data‐driven methods for quantitative imaging. GAMM-Mitteilungen, Wiley
06-11-2024 - Gnedin A and Derbazi Z (2024). The last-success stopping problem with random observation times. Mathematical Methods of Operations Research, Springer Nature, 1-27.
19-10-2024
Recent Grants
Mark Sandler and Boris Khoruzhenko
£238,701 EPSRC Engineering and Physical Sciences Research Council (01-11-2024 - 30-04-2026)
Natasha Blitvic
£264,960 Simons Foundation (USA) (01-09-2024 - 31-08-2025)
Omer Bobrowski and Primoz Skraba
£330,778 Leverhulme Trust (22-07-2024 - 21-07-2027)