Andrew Golightly
Title
Cited by
Cited by
Year
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
A Golightly, DJ Wilkinson
Interface Focus 1 (6), 807-820, 2011
2582011
Bayesian inference for stochastic kinetic models using a diffusion approximation
A Golightly, DJ Wilkinson
Biometrics 61 (3), 781-788, 2005
2262005
Bayesian inference for nonlinear multivariate diffusion models observed with error
A Golightly, DJ Wilkinson
Computational Statistics & Data Analysis 52 (3), 1674-1693, 2008
2062008
Bayesian sequential inference for nonlinear multivariate diffusions
A Golightly, DJ Wilkinson
Statistics and Computing 16 (4), 323-338, 2006
1302006
Bayesian sequential inference for stochastic kinetic biochemical network models
A Golightly, DJ Wilkinson
Journal of Computational Biology 13 (3), 838-851, 2006
1122006
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
A Golightly, DA Henderson, C Sherlock
Statistics and Computing 25 (5), 1039-1055, 2015
65*2015
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
C Sherlock, A Golightly, DA Henderson
Journal of Computational and Graphical Statistics 26 (2), 434-444, 2017
322017
Markov chain Monte Carlo algorithms for SDE parameter estimation
DJ Wilkinson, A Golightly
Learning and inference in computational systems biology, 253-275, 2010
29*2010
Bayesian inference for generalized stochastic population growth models with application to aphids
CS Gillespie, A Golightly
Journal of the Royal Statistical Society: Series C (Applied Statistics) 59 …, 2010
282010
Bayesian inference for Markov jump processes with informative observations
A Golightly, DJ Wilkinson
Statistical applications in genetics and molecular biology 14 (2), 169-188, 2015
252015
Gross energy metabolism in mice under late onset, short term caloric restriction
KM Cameron, A Golightly, S Miwa, J Speakman, R Boys, T von Zglinicki
Mechanisms of ageing and development, 2011
222011
Improved bridge constructs for stochastic differential equations
GA Whitaker, A Golightly, RJ Boys, C Sherlock
Statistics and Computing 27 (4), 885-900, 2017
212017
Simulation of stochastic kinetic models
A Golightly, CS Gillespie
In Silico Systems Biology, 169-187, 2013
212013
Black-box variational inference for stochastic differential equations
T Ryder, A Golightly, AS McGough, D Prangle
arXiv preprint arXiv:1802.03335, 2018
172018
Bayesian inference for diffusion-driven mixed-effects models
GA Whitaker, A Golightly, RJ Boys, C Sherlock
Bayesian Analysis 12 (2), 435-463, 2017
172017
Bayesian inference for hybrid discrete-continuous stochastic kinetic models
C Sherlock, A Golightly, CS Gillespie
Inverse Problems 30 (11), 114005, 2014
142014
Bayesian filtering for jump-diffusions with application to stochastic volatility
A Golightly
Journal of Computational and Graphical Statistics 18 (2), 384-400, 2009
142009
Bayesian inference for a wave-front model of the neolithization of Europe
AW Baggaley, GR Sarson, A Shukurov, RJ Boys, A Golightly
Physical Review E 86 (1), 016105, 2012
132012
Efficient schemes for stochastic kinetic models
A Golightly, T Kypraios
Statistics and Computing 28 (6), 1215-1230, 2018
122018
Inference for population dynamics in the Neolithic period
AW Baggaley, RJ Boys, A Golightly, GR Sarson, A Shukurov
The Annals of Applied Statistics 6 (4), 1352-1376, 2012
112012
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Articles 1–20