Publications

Ter-Minassian, L. et al. (2023) “PWSHAP: a path-wise explanation model for targeted variables”, in Proceedings of the 40th International Conference on Machine Learning. Proceedings of Machine Learning Research, pp. 34054–34089.

Penn, M. and Donnelly, C. (2023) “Optimality of maximal-effort vaccination”, Bulletin of Mathematical Biology, 85.

Penn, M. et al. (2023) “Intrinsic randomness in epidemic modelling beyond statistical uncertainty”, Communications Physics, 6.

Caron, F., Panero, F. and Rousseau, J. (2023) “On sparsity, power-law and clustering properties of graphex processes”, Advances in Applied Probability, 55(4), pp. 1211–1253.

McCabe, R. et al. (2023) “Alternative epidemic indicators for COVID-19 in three settings with incomplete death registration systems”, Science Advances, 9(23).

Sinha, S. et al. (2023) “Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database”, European Journal of Cardio-Thoracic Surgery, 63(6), p. ezad183.

Eales, O. et al. (2023) “Dynamics of SARS-CoV-2 infection hospitalisation and infection fatality ratios over 23 months in England”, PLoS Biology, 21(5).

Holmes, C. and Walker, S. (2023) “Statistical inference with exchangeability and martingales”, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 381(2247), p. 20220143.

Dunger‐Baldauf, C. et al. (2023) “Generating the Right Evidence at the Right Time: Principles of a New Class of Flexible Augmented Clinical Trial Designs”, Clinical Pharmacology & Therapeutics, 113(5), pp. 1132–1138.

Donnelly, C. (2023) “Sir David Cox—A Life Well Lived”, Harvard data science review, 5(2).