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stat.ME2026
A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference
Alex Yan, Cathal Mills, Augustin Marignier +2
When performing Bayesian inference, we frequently need to work with conditional probability densities. For example, the posterior function is the conditional density of the paramet…
stat.ME2025
A decision-theoretic framework for uncertainty quantification in epidemiological modelling
Nicholas Steyn, Freddie Bickford Smith, Cathal Mills +3
Estimating, understanding, and communicating uncertainty is fundamental to statistical epidemiology, where model-based estimates regularly inform real-world decisions. However, sou…