58 citations · 148 across the 25 of their papers we have counts for
6 papers · 1 filter
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention
Nicola Hewett, Lee Fawcett, Andrew Golightly +1
Improving road safety is hugely important with the number of deaths on the world's roads remaining unacceptably high; an estimated 1.35 million people die each year as a result of…
Bayesian inference for a spatio-temporal model of road traffic collision data
Nicola Hewett, Andrew Golightly, Lee Fawcett +1
Improving road safety is hugely important with the number of deaths on the world's roads remaining unacceptably high; an estimated 1.35 million people die each year (WHO, 2020). Cu…
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye +4
Proper function of a wastewater treatment plant (WWTP) relies on maintaining a delicate balance between a multitude of competing microorganisms. Gaining a detailed understanding of…
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
Holly F. Fisher, Richard J. Boys, Colin S. Gillespie +2
The presence of protein aggregates in cells is a known feature of many human age-related diseases, such as Huntington's disease. Simulations using fixed parameter values in a model…
Sequential Bayesian inference for spatio-temporal models of temperature and humidity data
Yingying Lai, Andrew Golightly, Richard Boys
We develop a spatio-temporal model to forecast sensor output at five locations in North East England. The signal is described using coupled dynamic linear models, with spatial effe…
Inference for population dynamics in the Neolithic period
Andrew W. Baggaley, Richard J. Boys, Andrew Golightly +2
We consider parameter estimation for the spread of the Neolithic incipient farming across Europe using radiocarbon dates. We model the arrival time of farming at radiocarbon-dated,…