118 citations · 133 across the 9 of their papers we have counts for
10 papers
The Lifebelt Particle Filter for robust estimation from low-valued count data
Alice Corbella, Trevelyan J. McKinley, Paul J. Birrell +4
Particle filtering methods can be applied to estimation problems in discrete spaces on bounded domains, to sample from and marginalise over unknown hidden states. As in continuous…
Automatic Zig-Zag sampling in practice
Alice Corbella, Simon E F Spencer, Gareth O Roberts
Novel Monte Carlo methods to generate samples from a target distribution, such as a posterior from a Bayesian analysis, have rapidly expanded in the past decade. Algorithms based o…
Efficient Bayesian model selection for coupled hidden Markov models with application to infectious diseases
Jake Carson, Trevelyan J. McKinley, Peter Neal +1
Performing model selection for coupled hidden Markov models (CHMMs) is highly challenging, owing to the large dimension of the hidden state process. Whilst in principle the hidden…
Statistical methods for linking geostatistical maps and transmission models: Application to lymphatic filariasis in East Africa
Panayiota Touloupou, Renata Retkute, T Deirdre Hollingsworth +1
Infectious diseases remain one of the major causes of human mortality and suffering. Mathematical models have been established as an important tool for capturing the features that…
An epidemic model for an evolving pathogen with strain-dependent immunity
Adam Griffin, Simon E. F. Spencer, Gareth O. Roberts
Between pandemics, the influenza virus exhibits periods of incremental evolution via a process known as antigenic drift. This process gives rise to a sequence of strains of the pat…
Simulation from quasi-stationary distributions on reducible state spaces
Adam Griffin, Paul A. Jenkins, Gareth O. Roberts +1
Quasi-stationary distributions (QSDs)arise from stochastic processes that exhibit transient equilibrium behaviour on the way to absorption QSDs are often mathematically intractable…