Publications by Dr Andrew Golightly - ePrints

Browsing publications by Dr Andrew Golightly.

Newcastle Authors	Title	Year
Dr Nicola Hewett Dr Andrew Golightly Dr Lee Fawcett Dr Neil Thorpe	Bayesian inference for a spatio-temporal model of road traffic collision data	2024
Dr Laura Wadkin Dr Andrew Golightly Dr Andrew Baggaley	Estimating the reproduction number, R₀, from individual-based models of tree disease spread	2024
Dr Andrew Golightly Dr Laura Wadkin Sam Whitaker Dr Andrew Baggaley Professor Nick Parker et al.	Accelerating Bayesian inference for stochastic epidemic models using incidence data	2023
Dr Andrew Golightly	Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes	2022
Dr Andrew Golightly Dr Dennis Prangle	Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter	2022
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 UK	2022
Dr Holly Fisher Dr Colin Gillespie Dr Andrew Golightly	Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins	2022
Dr Andrew Golightly	Efficiency of Delayed-Acceptance Random Walk Metropolis Algorithms	2021
Dr Andrew Golightly Ashleigh Mclean	Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms	2021
Yingying Lai Dr Andrew Golightly Professor Richard Boys	Sequential Bayesian inference for spatio-temporal models of temperature and humidity data	2020
Dr Andrew Golightly Dr Tom Lowe Dr Colin Gillespie	Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models	2019
Dr Andrew Golightly	Efficient sampling of conditioned Markov jump processes	2019
Dr Colin Gillespie Dr Andrew Golightly	Guided proposals for efficient weighted stochastic simulation	2019
Tom Ryder Dr Andrew Golightly Dr Stephen McGough Dr Dennis Prangle	Black-box Variational Inference for Stochastic Differential Equations	2018
Dr Andrew Golightly	Efficient SMC² schemes for stochastic kinetic models	2018
Dr Rob Forsyth Dr Andrew Golightly Emeritus Professor Lindsay Marshall	Paediatric Rehabilitation Ingredients Measure: a new tool for identifying paediatric neurorehabilitation content	2018
Gavin Whitaker Dr Andrew Golightly Professor Richard Boys	Improved bridge constructs for stochastic differential equations	2017
Dr Andrew Golightly Dr Daniel Henderson	Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods	2016
Gavin Whitaker Dr Andrew Golightly Professor Richard Boys	Bayesian Inference for Diffusion-Driven Mixed-Effects Models	2016
Dr Colin Gillespie Dr Andrew Golightly	Diagnostics for assessing the linear noise and moment closure approximations	2016
Dr Andrew Golightly Professor Darren Wilkinson	Bayesian inference for Markov jump processes with informative observations	2015
Dr Andrew Golightly Dr Daniel Henderson	Delayed acceptance particle MCMC for exact inference in stochastic kinetic models	2015
Dr Andrew Golightly Dr Colin Gillespie	Bayesian inference for hybrid discrete-continuous stochastic kinetic models	2014
Dr Daniel Henderson Dr Andrew Baggaley Professor Anvar Shukurov Professor Richard Boys Dr Graeme Sarson et al.	Regional variations in the European Neolithic dispersal: the role of the coastlines	2014
Dr Andrew Golightly Dr Colin Gillespie	Simulation of stochastic kinetic models	2013
Dr Andrew Baggaley Dr Graeme Sarson Professor Anvar Shukurov Professor Richard Boys Dr Andrew Golightly et al.	Bayesian inference for a wave-front model of the neolithization of Europe	2012
Dr Colin Gillespie Dr Andrew Golightly	Bayesian inference for the chemical master equation using approximate models	2012
Dr Andrew Baggaley Professor Richard Boys Dr Andrew Golightly Dr Graeme Sarson Professor Anvar Shukurov et al.	Inference for population dynamics in the Neolithic period	2012
Dr Andrew Golightly Professor Richard Boys Professor Thomas von Zglinicki	The effect of late onset, short-term caloric restriction on the core temperature and physical activity in mice	2012
Dr Andrew Golightly Professor Darren Wilkinson	Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo	2011
Dr Andrew Golightly Professor Richard Boys	Discussion to "Riemann manifold Langevin and Hamiltonian Monte Carlo methods" by Girolami and Calderhead	2011
Dr Kerry Cameron Dr Andrew Golightly Dr Satomi Miwa Professor Richard Boys Professor Thomas von Zglinicki et al.	Gross energy metabolism in mice under late onset, short term caloric restriction	2011
Dr Colin Gillespie Dr Andrew Golightly	Bayesian inference for generalized stochastic population growth models with application to aphids	2010
Dr Andrew Golightly Professor Darren Wilkinson	Discussion to "Particle Markov chain Monte Carlo Methods" by Andrieu, Doucet and Holenstein	2010
Professor Darren Wilkinson Dr Andrew Golightly	Markov chain Monte Carlo algorithms for SDE parameter estimation	2010
Dr Andrew Golightly	Bayesian Filtering for Jump-Diffusions With Application to Stochastic Volatility	2009
Dr Andrew Golightly Professor Darren Wilkinson	Bayesian inference for nonlinear multivariate diffusion models observed with error	2008
Dr Andrew Golightly Professor Darren Wilkinson	Bayesian sequential inference for nonlinear multivariate diffusions	2006
Dr Andrew Golightly Professor Darren Wilkinson	Bayesian sequential inference for stochastic kinetic biochemical network models	2006
Dr Andrew Golightly Professor Darren Wilkinson	Bayesian inference for stochastic kinetic models using a diffusion approximation	2005