Publications (Statistical Theory and Methodology) | Department of Statistics - University of Oxford

Publications

Kartsonaki, C. et al. (2023) “Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19”, International Journal of Epidemiology, 52(2), pp. 355–376.

Johnson, E., Pike-Burke, C. and Rebeschini, P. (2023) “Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes”, arXiv.

Eales, O. et al. (2023) “The use of representative community samples to assess SARS-CoV-2 lineage competition: Alpha outcompetes Beta and wild-type in England from January to March 2021”, Microbial Genomics, 9(2).

Caron, F. et al. (2023) “Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning”, arXiv.

Alfano, C., Yuan, R. and Rebeschini, P. (2023) “A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence”, arXiv.

Penn, M. and Donnelly, C. (2023) “Asymptotic analysis of optimal vaccination policies”, Bulletin of Mathematical Biology, 85.

Li, G. et al. (2023) “A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic”, Environment International, 172, pp. 107765–107765.

Schwarz, J. et al. (2023) “Modality-Agnostic Variational Compression of Implicit Neural Representations”, in Proceedings of Machine Learning Research, pp. 30342–30364.

McCabe, R. et al. (2023) “Alternative epidemic indicators for COVID-19: a model-based assessment of COVID-19 mortality ascertainment in three settings with incomplete death registration systems”, medRxiv.

Watson, L. et al. (2023) “Improving estimates of epidemiological quantities by combining reported cases with wastewater data: a statistical framework with applications to COVID-19 in Aotearoa New Zealand”, medRxiv.