3 papers
stat.AP2026
Bayesian inference for disease transmission models informed by viral dynamics
Dylan J. Morris, Lauren Kennedy, Andrew J. Black
Infectious disease dynamics operate across multiple biological scales, with within-host viral dynamics being a key driver of between-host transmission. However, while models that e…
stat.ME2025
Gaussian approximations for fast Bayesian inference of partially observed branching processes with applications to epidemiology
Angus Lewis, Antonio Parrella, John Maclean +1
We consider the problem of inference for the states and parameters of a continuous-time multitype branching process from partially observed time series data. Exact inference for th…
stat.ML2023
Neural Likelihood Approximation for Integer Valued Time Series Data
Luke O'Loughlin, John Maclean, Andrew Black
Stochastic processes defined on integer valued state spaces are popular within the physical and biological sciences. These models are necessary for capturing the dynamics of small…