Publications

Alfano, C., Yuan, R. and Rebeschini, P. (2023) “A novel framework for policy mirror descent with general parameterization and linear convergence”, in. Curran Associates.

Hunter, D. and Holmes, C. (2023) “Where medical statistics meets artificial intelligence”, New England Journal of Medicine, 389(13), pp. 1211–1219.

Lee, H. et al. (2023) “Deep neural networks with dependent weights: Gaussian process mixture limit, heavy tails, sparsity and compressibility”, Journal of Machine Learning Research, 24, pp. 1–78.

Yang, J. et al. (2023) “Determining herd immunity thresholds for hepatitis A virus transmission to inform vaccination strategies among people who inject drugs in 16 US states”, Clinical Infectious Diseases, 78(4), pp. 976–982.

Ročková, V. and Rousseau, J. (2023) “Ideal Bayesian spatial adaptation”, Journal of the American Statistical Association [Preprint].

Lu, X., Rainforth, T. and Teh, Y. (2023) “Daisee: Adaptive importance sampling by balancing exploration and exploitation”, Scandinavian Journal of Statistics, 50(3), pp. 1298–1324.

Crook, O. et al. (2023) “A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry”, Journal of Proteome Research, 22(9), pp. 2959–2972.

Carrera, J.-P. et al. (2023) “Madariaga and Venezuelan equine encephalitis virus seroprevalence in rodent enzootic hosts in Eastern and Western Panama.”, bioRxiv [Preprint].

Murphy, C. et al. (2023) “Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2257).

Kelly, L. et al. (2023) “TraitLab: a Matlab package for fitting and simulating binary tree-like data”, arXiv.