• Bernoulli site percolation on a torus / A two dimensional random acycle / Simulation of a phase transition
  • Finite-fuel singular control with discretionary stopping
  • Examples of complex point clouds: Lorenz attractor, Brownian motion, and the Hennenberg surface

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. 

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News

Recent Publications

  • Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems
    Adam L Papafitsoros K Jean C
    Ecological Informatics, Elsevier vol. 89 
    01-11-2025
  • The permanent and temporary effects of stock splits on liquidity in a dynamic semiparametric model
    Hafner CM Linton OB Wang L
    Journal of Business and Economic Statistics, Taylor & Francis, 1-25.  
    19-09-2025
  • The Good, the Bad, and Latency: Exploratory Trading on Bybit and Binance
    Albers J Cucuringu M Howison S Shestopaloff A
    Quantitative Finance, Taylor and Francis Group 
    25-06-2025

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Recent Grants

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