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Browsing publications by Dr Andrew Golightly.

Newcastle AuthorsTitleYearFull text
Dr Andrew Golightly
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes2022
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 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
Dr Andrew Golightly
Dr Dennis Prangle
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter2021
Dr Holly Fisher
Dr Colin Gillespie
Dr Andrew Golightly
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins2021
Yingying Lai
Dr Andrew Golightly
Professor Richard Boys
Sequential Bayesian inference for spatio-temporal models of temperature and humidity data2020
Dr Andrew Golightly
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
Dr Rob Forsyth
Dr Andrew Golightly
Professor Lindsay Marshall
Paediatric Rehabilitation Ingredients Measure: a new tool for identifying paediatric neurorehabilitation content2018
Gavin Whitaker
Dr Andrew Golightly
Professor Richard Boys
Improved bridge constructs for stochastic differential equations2017
Dr Andrew Golightly
Dr Daniel Henderson
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods2016
Gavin Whitaker
Dr Andrew Golightly
Professor Richard Boys
Bayesian Inference for Diffusion-Driven Mixed-Effects Models2016
Dr Colin Gillespie
Dr Andrew Golightly
Diagnostics for assessing the linear noise and moment closure approximations2016
Dr Andrew Golightly
Professor Darren Wilkinson
Bayesian inference for Markov jump processes with informative observations2015
Dr Andrew Golightly
Dr Daniel Henderson
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models2015
Dr Andrew Golightly
Dr Colin Gillespie
Bayesian inference for hybrid discrete-continuous stochastic kinetic models2014
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 coastlines2014
Dr Andrew Golightly
Dr Colin Gillespie
Simulation of stochastic kinetic models2013
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 Europe2012
Dr Colin Gillespie
Dr Andrew Golightly
Bayesian inference for the chemical master equation using approximate models2012
Dr Andrew Baggaley
Professor Richard Boys
Dr Andrew Golightly
Dr Graeme Sarson
Professor Anvar Shukurov
et al.
Inference for population dynamics in the Neolithic period2012
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 mice2012
Dr Andrew Golightly
Professor Darren Wilkinson
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo2011
Dr Andrew Golightly
Professor Richard Boys
Discussion to "Riemann manifold Langevin and Hamiltonian Monte Carlo methods" by Girolami and Calderhead2011
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 restriction2011
Dr Colin Gillespie
Dr Andrew Golightly
Bayesian inference for generalized stochastic population growth models with application to aphids2010
Dr Andrew Golightly
Professor Darren Wilkinson
Discussion to "Particle Markov chain Monte Carlo Methods" by Andrieu, Doucet and Holenstein2010
Professor Darren Wilkinson
Dr Andrew Golightly
Markov chain Monte Carlo algorithms for SDE parameter estimation2010
Dr Andrew Golightly
Bayesian Filtering for Jump-Diffusions With Application to Stochastic Volatility2009
Dr Andrew Golightly
Professor Darren Wilkinson
Bayesian inference for nonlinear multivariate diffusion models observed with error2008
Dr Andrew Golightly
Professor Darren Wilkinson
Bayesian sequential inference for nonlinear multivariate diffusions2006
Dr Andrew Golightly
Professor Darren Wilkinson
Bayesian sequential inference for stochastic kinetic biochemical network models2006
Dr Andrew Golightly
Professor Darren Wilkinson
Bayesian inference for stochastic kinetic models using a diffusion approximation2005