Publications

Pituk, G., Shirvaikar, V. and Rainforth, T. (2025) “Do Bayesian Neural Networks Actually Behave Like Bayesian Models?”, in.

Hedman, M. et al. (2025) “Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design”, in.

Bickford Smith, F. et al. (2025) “Rethinking Aleatoric and Epistemic Uncertainty”, in.

Fatima, A. and Reinert, G. (2025) “Stein’s method for distributions modelling competing and complementary risk problems”, Advances in Applied Probability [Preprint].

Lee, J., Liu, S. and Nicholls, G. (2025) “Bayesian inference for the learning rate in Generalised Bayesian inference”, arXiv.

Reinert, G., Hung, E. and Mantziou, A. (2025) “A Bayesian mixture model for Poisson network autoregression”, Social Network Analysis and Mining [Preprint].

Nicholls, G. et al. (2025) “Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta”, The Annals of Applied Statistics, 19(2), pp. 1663–1690.

Adams, J. et al. (2025) “Individualised Counterfactual Examples Using Conformal Prediction Intervals.”

Fatima, A. and Reinert, G. (2025) “A Kernelised Stein Discrepancy for Assessing the Fit of Inhomogeneous Random Graph Models.”

Azangulov, I. et al. (2025) “Adaptive Diffusion Guidance via Stochastic Optimal Control”, arXiv.