84 citations · 143 across the 16 of their papers we have counts for
4 papers · 1 filter
Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes
James A. Scott, Axel Gandy, Swapnil Mishra +4
This article introduces epidemia, an R package for Bayesian, regression-oriented modeling of infectious diseases. The implemented models define a likelihood for all observed data w…
PriorVAE: Encoding spatial priors with VAEs for small-area estimation
Elizaveta Semenova, Yidan Xu, Adam Howes +4
Gaussian processes (GPs), implemented through multivariate Gaussian distributions for a finite collection of data, are the most popular approach in small-area spatial statistical m…
Unifying incidence and prevalence under a time-varying general branching process
Mikko S. Pakkanen, Xenia Miscouridou, Matthew J. Penn +5
Renewal equations are a popular approach used in modelling the number of new infections, i.e., incidence, in an outbreak. We develop a stochastic model of an outbreak based on a ti…
Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting
Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra +7
Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide range of fields. An impor…