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Publications

Chau, S. et al. (2021) “BayesIMP: Uncertainty Quantification for Causal Data Fusion”, arXiv.
Parag, K., Thompson, R. and Donnelly, C. (2021) “Are epidemic growth rates more informative than reproduction numbers?”, medRxiv [Preprint].
Wu, F. and Rebeschini, P. (2021) “Implicit Regularization in Matrix Sensing via Mirror Descent”, arXiv.
Lovell-Read, F. et al. (2021) “Interventions targeting non-symptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case study”, Journal of the Royal Society Interface, 18(178).
Nicholson, G. et al. (2021) “Local prevalence of transmissible SARS-CoV-2 infection: an integrative causal model for debiasing fine-scale targeted testing data”, pp. 2021.05.17.21256818 – 2021.05.17.21256818.
Wymant, C. et al. (2021) “The epidemiological impact of the NHS COVID-19 app”, Nature, 594(7863), pp. 408–412.
Wu, F. and Rebeschini, P. (2021) “Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent”, arXiv.
Ward, H. et al. (2021) “Prevalence of antibody positivity to SARS-CoV-2 following the first peak of infection in England: serial cross-sectional studies of 365,000 adults”, Lancet Regional Health - Europe, 4.
Christen, P. et al. (2021) “The J-IDEA Pandemic Planner”, Medical Care, 59(5), pp. 371–378.
Riley, S. et al. (2021) “Resurgence of SARS-CoV-2: detection by community viral surveillance”, Science, 372(6545), pp. 990–995.