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Browsing publications by Dr Andrew Golightly

Newcastle AuthorsTitleYearFull text
Dr Nicola Hewett
Dr Andrew Golightly
Dr Lee Fawcett
Dr Neil Thorpe
Bayesian inference for a spatio-temporal model of road traffic collision data2024
Dr Laura Wadkin
Dr Andrew Golightly
Dr Andrew Baggaley
Estimating the reproduction number, R0, from individual-based models of tree disease spread2024
Dr Andrew Golightly
Dr Laura Wadkin
Dr Sam Whitaker
Dr Andrew Baggaley
Professor Nick Parker
Accelerating Bayesian inference for stochastic epidemic models using incidence data2023
Dr Andrew Golightly
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes2022
Dr Andrew Golightly
Dr Dennis Prangle
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter2022
Dr Laura Wadkin
Professor Nick Parker
Dr Andrew Golightly
Dr Andrew Baggaley
Inference for epidemic models with time-varying infection rates: Tracking the dynamics of oak processionary moth in the UK2022
Dr Holly Fisher
Dr Colin Gillespie
Dr Andrew Golightly
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins2022
Dr Andrew Golightly
Efficiency of Delayed-Acceptance Random Walk Metropolis Algorithms2021
Dr Andrew Golightly
Ashleigh Mclean
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms2021
Yingying Lai
Dr Andrew Golightly
Professor Richard Boys
Sequential Bayesian inference for spatio-temporal models of temperature and humidity data2020
Dr Andrew Golightly
Dr Tom Lowe
Dr Colin Gillespie
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models2019
Dr Andrew Golightly
Efficient sampling of conditioned Markov jump processes2019
Dr Colin Gillespie
Dr Andrew Golightly
Guided proposals for efficient weighted stochastic simulation2019
Tom Ryder
Dr Andrew Golightly
Dr Stephen McGough
Dr Dennis Prangle
Black-box Variational Inference for Stochastic Differential Equations2018
Dr Andrew Golightly
Efficient SMC2 schemes for stochastic kinetic models2018
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