15 citations · 24 across the 3 of their papers we have counts for
3 papers
stat.AP2021
Fusing Low-Latency Data Feeds with Death Data to Accurately Nowcast COVID-19 Related Deaths
Conor Rosato, Robert E. Moore, Matthew Carter +3
The emergence of the novel coronavirus (COVID-19) has generated a need to quickly and accurately assemble up-to-date information related to its spread. While it is possible to use…
stat.AP2021★ 9 cited
Refining Epidemiological Forecasts with Simple Scoring Rules
R. E. Moore, C. Rosato, S. Maskell
Estimates from infectious disease models have constituted a significant part of the scientific evidence used to inform the response to the COVID-19 pandemic in the UK. These estima…
stat.CO2020★ 15 cited
Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels
Peter L Green, Robert E Moore, Ryan J Jackson +2
By facilitating the generation of samples from arbitrary probability distributions, Markov Chain Monte Carlo (MCMC) is, arguably, \emph{the} tool for the evaluation of Bayesian inf…