Publications

Chuxuan et al. (2023) “Bayesian Inference for Vertex-Series-Parallel Partial Orders”, arXiv.

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.

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 : official journal of the European Association for 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).

Evans, R. and Didelez, V. (2023) “Parameterizing and simulating from causal models”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(3), pp. 535–568.

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.