Andrew Golightly - researchr alias

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Viewing Publication 1 - 21 from 21

2025

Bayesian classification of OXPHOS deficient skeletal myofibresJordan Childs, Tiago Bernardino Gomes, Amy E. Vincent, Andrew Golightly, Conor Lawless. ploscb, 21(2):1012770, 2025. [doi]

2024

Bayesian inference for a spatio-temporal model of road traffic collision dataNicola Hewett, Andrew Golightly, Lee Fawcett, Neil Thorpe. jocs, 80:102326, 2024. [doi]

2023

2022

Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processesAndrew Golightly, Chris Sherlock. sac, 32(1):21, 2022. [doi]

2021

The neural moving average model for scalable variational inference of state space modelsThomas Ryder, Dennis Prangle, Andrew Golightly, Isaac Matthews. uai 2021: 12-22 [doi]

Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithmsSamuel Wiqvist, Andrew Golightly, Ashleigh T. McLean, Umberto Picchini. csda, 157:107151, 2021. [doi]

2020

Sequential Bayesian inference for spatio-temporal models of temperature and humidity dataYingying Lai, Andrew Golightly, Richard J. Boys. jocs, 43:101125, 2020. [doi]

2019

Efficient sampling of conditioned Markov jump processesAndrew Golightly, Chris Sherlock. sac, 29(5):1149-1163, 2019. [doi]

Correlated pseudo-marginal schemes for time-discretised stochastic kinetic modelsAndrew Golightly, Emma Bradley, Tom Lowe, Colin S. Gillespie. csda, 136:92-107, 2019. [doi]

2018

2 schemes for stochastic kinetic modelsAndrew Golightly, Theodore Kypraios. sac, 28(6):1215-1230, 2018. [doi]

Black-Box Variational Inference for Stochastic Differential EquationsThomas Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle. icml 2018: 4420-4429 [doi]

2017

Improved bridge constructs for stochastic differential equationsGavin A. Whitaker, Andrew Golightly, Richard J. Boys, Chris Sherlock. sac, 27(4):885-900, 2017. [doi]

2015

Delayed acceptance particle MCMC for exact inference in stochastic kinetic modelsAndrew Golightly, Daniel A. Henderson, Chris Sherlock. sac, 25(5):1039-1055, 2015. [doi]

2010

Markov Chain Monte Carlo Algorithms for SDE Parameter EstimationDarren J. Wilkinson, Andrew Golightly. In Neil D. Lawrence, Mark A. Girolami, Magnus Rattray, Guido Sanguinetti, editors, Learning and Inference in Computational Systems Biology. Computational molecular biology, pages 253-276, MIT Press, 2010.

2008

Bayesian inference for nonlinear multivariate diffusion models observed with errorAndrew Golightly, Darren J. Wilkinson. csda, 52(3):1674-1693, 2008. [doi]

2006

Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network ModelsAndrew Golightly, Darren J. Wilkinson. jcb, 13(3):838-851, 2006. [doi]

Bayesian sequential inference for nonlinear multivariate diffusionsAndrew Golightly, Darren J. Wilkinson. sac, 16(4):323-338, 2006. [doi]

2002

An experimental speech to graphics systemAndrew Golightly, Tony Smith. chinz 2002: 91-96 [doi]

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