Publications (Statistical Theory and Methodology) | Department of Statistics

Publications

Heess, N., Silver, D. and Teh, Y. (no date) “Actor-Critic Reinforcement Learning with Energy-Based Policies”, in Journal of Machine Learning Research Workshop and Conference Proceedings.

Mellan, T. et al. (no date) “Subnational analysis of the COVID-19 epidemic in Brazil”, medRxiv.

Elliott, P. et al. (no date) “REACT-1 round 13 final report: exponential growth, high prevalence of SARS-CoV-2 and vaccine effectiveness associated with Delta variant in England during May to July 2021”, medRxiv.

Dorigatti, I. et al. (no date) “International risk of yellow fever spread from the ongoing outbreak in Brazil”, bioRxiv.

Penn, M. et al. (no date) “Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach”, bioRxiv.

Gorur, D. and Teh, Y. (no date) “An Efficient Sequential Monte-Carlo Algorithm for Coalescent Clustering”, in.

Eales, O. et al. (no date) “Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021”, medRxiv.

Penn, M. et al. (no date) “Sherlock - A flexible, low-resource tool for processing camera-trapping images”, bioRxiv.

Riley, S. et al. (no date) “REACT-1 round 9 interim report: downward trend of SARS-CoV-2 in England in February 2021 but still at high prevalence”, medRxiv.

Riley, S. et al. (no date) “REACT-1 round 10 report: Level prevalence of SARS-CoV-2 swab-positivity in England during third national lockdown in March 2021”, medRxiv.