100 citations · 189 across the 5 of their papers we have counts for
5 papers
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK
T. Maishman, S. Schaap, D. S. Silk +3
In the recent COVID-19 pandemic, a wide range of epidemiological modelling approaches have been used to predict the effective reproduction number, R(t), and other COVID-19 related…
Uncertainty quantification for epidemiological forecasts of COVID-19 through combinations of model predictions
D. S. Silk, V. E. Bowman, D. Semochkina +2
Scientific advice to the UK government throughout the COVID-19 pandemic has been informed by ensembles of epidemiological models provided by members of the Scientific Pandemic Infl…
Optimizing Threshold - Schedules for Approximate Bayesian Computation Sequential Monte Carlo Samplers: Applications to Molecular Systems
Daniel Silk, Saran Filippi, Michael P. H. Stumpf
The likelihood-free sequential Approximate Bayesian Computation (ABC) algorithms, are increasingly popular inference tools for complex biological models. Such algorithms proceed by…
Designing Attractive Models via Automated Identification of Chaotic and Oscillatory Dynamical Regimes
Daniel SIlk, Paul D. W. Kirk, Chris P. Barnes +5
Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constr…
Bayesian design of synthetic biological systems
Chris Barnes, Daniel Silk, Xia Sheng +1
Here we introduce a new design framework for synthetic biology that exploits the advantages of Bayesian model selection. We will argue that the difference between inference and des…