Publications

Forna, A. et al. (2019) “Case fatality ratio estimates for the 2013 – 2016 West African Ebola epidemic: application of boosted regression trees for imputation”, Clinical Infectious Diseases, 70(12), pp. 2476–2483.

Parag, K. and Donnelly, C. (2019) “Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline Models”, p. 703751.

Dean, N. et al. (2019) “Design of vaccine efficacy trials during public health emergencies”, Science Translational Medicine, 11(499).

Dean, N. et al. (2019) “Design of vaccine efficacy trials during public health emergencies.”, Science translational medicine, 11(499), p. eaat0360.

Eric, N. et al. (2019) “Hybrid models with deep and invertible features”, in Proceedings of Machine Learning Research. Proceedings of Machine Learning Research, pp. 4723–4732.

Lee, J. et al. (2019) “Set transformer: A framework for attention-based permutation-invariant neural networks”, in Proceedings of Machine Learning Research. PMLR, pp. 3744–3753.

Lyddon, S., Holmes, C. and Walker, S. (2019) “General Bayesian updating and the loss-likelihood bootstrap”, Biometrika, 106(2), pp. 465–478.

Gram-Hansen, B. et al. (2019) “Hijacking Malaria Simulators with Probabilistic Programming”, arXiv.

Lee, J., Miscouridou, X. and Caron, F. (2019) “A unified construction for series representations and finite approximations of completely random measures”, arXiv.

Lee, J. et al. (2019) “Set transformer: A framework for attention-based permutation-invariant neural networks”, in. Proceedings of Machine Learning Research, pp. 3744–3753.