New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Bayesian statistics represents a powerful framework for data analysis that centres on Bayes’ theorem, enabling researchers to update existing beliefs with incoming evidence. By combining prior ...

Computational statistics combines mathematical theory, algorithm design and high-performance computing to extract insight from data. It spans simulation-based inference (for example, bootstrap and ...

On Friday the 24th of April 2026, M.Eng. Shanshan Zhang defends her PhD thesis on Understanding Uncertainty in Mental Inference with Bayesian Computational Rationality. The thesis is related to ...