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.
News
Recent Publications
- Bayesian Partial Reduced-Rank Regression
Pintado MF, Iacopini M, Rossini L and Shestopaloff A
Journal of Computational and Graphical Statistics
03-01-2025 - Data‐driven methods for quantitative imaging
Dong G, Flaschel M, Hintermüller M, Papafitsoros K, Sirotenko C and Tabelow K
Gamm-Mitteilungen, Wiley
06-11-2024 - The last-success stopping problem with random observation times
Gnedin A and Derbazi Z
Mathematical Methods of Operations Research, Springer Nature, 1-27.
19-10-2024
Recent Grants
- Artificial Neuroscience: metrology and engineering for Deep Learning using Linear Algebra
Mark Sandler and Boris Khoruzhenko
£238,701 EPSRC Engineering and Physical Sciences Research Council
01-11-2024 - 30-04-2026 - Life at large n: high-dimensional scaling limits of marine microbial processes and interactions
Natasha Blitvic
£264,960 Simons Foundation (USA)
01-09-2024 - 31-08-2025 - Universality in Topological Data Analysis
Omer Bobrowski and Primoz Skraba
£330,778 Leverhulme Trust
22-07-2024 - 21-07-2027