Publications (45)
Estimating the duration of RT-PCR positivity for SARS-CoV-2 from doubly interval censored data with undetected infections
Joshua Blake, Paul Birrell, A. Sarah Walker +5
Monitoring the incidence of new infections during a pandemic is critical for an effective public health response. General population prevalence surveys for SARS-CoV-2 can provide h…
NuZZ: numerical Zig-Zag sampling for general models
Filippo Pagani, Augustin Chevallier, Sam Power +2
Markov chain Monte Carlo (MCMC) is a key algorithm in computational statistics, and as datasets grow larger and models grow more complex, many popular MCMC algorithms become too co…
Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST)
Jack R. McKenzie, Peter A. Appleby, Thomas House +1
Cold-start is a notoriously difficult problem which can occur in recommendation systems, and arises when there is insufficient information to draw inferences for users or items. To…
The rate of convergence to early asymptotic behaviour in age-structured epidemic models
Christopher A. Rhodes, Thomas House
Age structure is incorporated in many types of epidemic model. Often it is convenient to assume that such models converge to early asymptotic behaviour quickly, before the suscepti…
Real-time growth rate for general stochastic SIR epidemics on unclustered networks
Lorenzo Pellis, Simon E. F. Spencer, Thomas House
Networks have become an important tool for infectious disease epidemiology. Most previous theoretical studies of transmission network models have either considered simple Markovian…
Endemic infections are always possible on regular networks
Charo I. Del Genio, Thomas House
We study the dependence of the largest component in regular networks on the clustering coefficient, showing that its size changes smoothly without undergoing a phase transition. We…