Andrew Golightly

Cited by

	All	Since 2018
Citations	1821	832
h-index	17	14
i10-index	26	21

180

135

20062007200820092010201120122013201420152016201720182019202020212022202320 28 42 59 70 57 79 115 120 115 126 147 136 156 149 152 163 75

Public access

View all

9 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Darren WilkinsonProfessor of Statistics, Durham University, U.K.Verified email at durham.ac.uk
Chris SherlockLancaster UniversityVerified email at lancaster.ac.uk
Richard BoysProfessor of Applied Statistics, Newcastle University, UKVerified email at ncl.ac.uk
Daniel A HendersonNewcastle University, UKVerified email at ncl.ac.uk
Colin S GillespieSenior Statistics Lecturer, Newcastle UniversityVerified email at newcastle.ac.uk
Andrew William BaggaleySchool of Mathematics and Statistics, Newcastle UniversityVerified email at ncl.ac.uk
Dennis PrangleBristol UniversityVerified email at bristol.ac.uk
Tom RyderQualcommVerified email at qti.qualcomm.com
Graeme SarsonNewcastle UniversityVerified email at ncl.ac.uk
Anvar ShukurovProfessor of Astrophysical Fluid Dynamics, Newcastle University, UKVerified email at ncl.ac.uk
A.S.McGoughNewcastle UniversityVerified email at newcastle.ac.uk
Thomas Von ZglinickiNewcastle University and Near East University Nicosia, Northern CyprusVerified email at ncl.ac.uk
Theodore KypraiosProfessor of Statistics, University of NottinghamVerified email at nottingham.ac.uk
Umberto PicchiniDept. Mathematical Sciences, University of Gothenburg and Chalmers University of TechnologyVerified email at chalmers.se
John R. SpeakmanChinese Academy of Sciences, SIAT and IGDB and University of AberdeenVerified email at abdn.ac.uk
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
Richard G. EverittUniversity of WarwickVerified email at warwick.ac.uk
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Verified email at nus.edu.sg
Nick ParkerProfessor, School of Mathematics, Statistics & Physics, Newcastle UniversityVerified email at ncl.ac.uk
Sarah HeapsDepartment of Mathematical Sciences, Durham UniversityVerified email at durham.ac.uk

Andrew Golightly

Associate Professor, Durham University

Verified email at durham.ac.uk - Homepage

Bayesian inference stochastic modelling computational systems biology


Title Sort by citations Sort by year Sort by 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	337	2011
Bayesian inference for stochastic kinetic models using a diffusion approximation A Golightly, DJ Wilkinson Biometrics 61 (3), 781-788, 2005	263	2005
Bayesian inference for nonlinear multivariate diffusion models observed with error A Golightly, DJ Wilkinson Computational Statistics & Data Analysis 52 (3), 1674-1693, 2008	253	2008
Bayesian sequential inference for nonlinear multivariate diffusions A Golightly, DJ Wilkinson Statistics and Computing 16, 323-338, 2006	159	2006
Bayesian sequential inference for stochastic kinetic biochemical network models A Golightly, DJ Wilkinson Journal of Computational Biology 13 (3), 838-851, 2006	133	2006
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	91*	2015
Black-box variational inference for stochastic differential equations T Ryder, A Golightly, AS McGough, D Prangle International Conference on Machine Learning, 4423-4432, 2018	60	2018
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	53	2017
Improved bridge constructs for stochastic differential equations GA Whitaker, A Golightly, RJ Boys, C Sherlock Statistics and Computing 27, 885-900, 2017	41	2017
Markov chain Monte Carlo algorithms for SDE parameter estimation DJ Wilkinson, A Golightly Learning and inference in computational systems biology, 253-275, 2010	38*	2010
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	36	2015
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	30	2010
Bayesian inference for diffusion-driven mixed-effects models GA Whitaker, A Golightly, RJ Boys, C Sherlock	29	2017
Simulation of stochastic kinetic models A Golightly, CS Gillespie In Silico Systems Biology, 169-187, 2013	29	2013
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	24	2011
Bayesian inference for hybrid discrete-continuous stochastic kinetic models C Sherlock, A Golightly, CS Gillespie Inverse Problems 30 (11), 114005, 2014	23	2014
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	18	2012
Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter C Drovandi, RG Everitt, A Golightly, D Prangle Bayesian Analysis 17 (1), 223-260, 2022	17	2022
Bayesian filtering for jump-diffusions with application to stochastic volatility A Golightly Journal of Computational and Graphical Statistics 18 (2), 384-400, 2009	17	2009
Efficiency of delayed-acceptance random walk Metropolis algorithms C Sherlock, AH Thiery, A Golightly The Annals of Statistics 49 (5), 2972-2990, 2021	16	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors