463 citations · 599 across the 12 of their papers we have counts for
13 papers
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…
Real time analysis of epidemic data
Jessica Welding, Peter Neal
Infectious diseases have severe health and economic consequences for society. It is important in controlling the spread of an emerging infectious disease to be able to both estimat…
The basic reproduction number, , in structured populations
Peter Neal, Thitiya Theparod
In this paper, we provide a straightforward approach to defining and deriving the key epidemiological quantity, the basic reproduction number, , for Markovian epidemics in str…
Model comparison with missing data using MCMC and importance sampling
Panayiota Touloupou, Naif Alzahrani, Peter Neal +2
Selecting between competing statistical models is a challenging problem especially when the competing models are non-nested. In this paper we offer a simple solution by devising an…
Optimal scaling of the independence sampler: Theory and Practice
Peter Neal, Clement Lee
The independence sampler is one of the most commonly used MCMC algorithms usually as a component of a Metropolis-within-Gibbs algorithm. The common focus for the independence sampl…
On expected durations of birth-death processes, with applications to branching processes and SIS epidemics
Frank Ball, Tom Britton, Peter Neal
We study continuous-time birth-death type processes, where individuals have independent and identically distributed lifetimes, according to a random variable Q, with E[Q]=1, and wh…