2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ME2021★ 1 cited
Interoperability of statistical models in pandemic preparedness: principles and reality
George Nicholson, Marta Blangiardo, Mark Briers +12
We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving p…
stat.ME2021★ 2 cited
Bayesian exponential random graph models for populations of networks
Brieuc Lehmann, Simon White
The collection of data on populations of networks is becoming increasingly common, where each data point can be seen as a realisation of a network-valued random variable. A canonic…
stat.AP2021
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
Radka Jersakova, James Lomax, James Hetherington +4
Obtaining up to date information on the number of UK COVID-19 regional infections is hampered by the reporting lag in positive test results for people with COVID-19 symptoms. In th…