Andrew Golightly

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 16

Top Topics

Diffusion Process

Bayesian Inference

Anchovy Catches

Top Venues

Comput. Stat. Data Anal.

J. Comput. Sci.

Publications

Nicola Hewett, Andrew Golightly, Lee Fawcett, Neil Thorpe
Bayesian inference for a spatio-temporal model of road traffic collision data. J. Comput. Sci. 80 (2024)
Chris Sherlock, Andrew Golightly
Exact Bayesian Inference for Discretely Observed Markov Jump Processes Using Finite Rate Matrices. J. Comput. Graph. Stat. 32 (1) (2023)
Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye, Thomas P. Curtis, Ben Allen, Andrew Golightly, Darren J. Wilkinson
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant. Comput. Stat. Data Anal. 179 (2023)
Andrew Golightly, Laura E. Wadkin, Sam A. Whitaker, Andrew W. Baggaley, Nick G. Parker, Theodore Kypraios
Accelerating Bayesian inference for stochastic epidemic models using incidence data. Stat. Comput. 33 (6) (2023)
Tom E. Lowe, Andrew Golightly, Chris Sherlock
Accelerating inference for stochastic kinetic models. Comput. Stat. Data Anal. 185 (2023)
Andrew Golightly, Chris Sherlock
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes. Stat. Comput. 32 (1) (2022)
Samuel Wiqvist, Andrew Golightly, Ashleigh T. McLean, Umberto Picchini
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms. Comput. Stat. Data Anal. 157 (2021)
Thomas Ryder, Dennis Prangle, Andrew Golightly, Isaac Matthews
The neural moving average model for scalable variational inference of state space models. UAI (2021)
Yingying Lai, Andrew Golightly, Richard J. Boys
Sequential Bayesian inference for spatio-temporal models of temperature and humidity data. J. Comput. Sci. 43 (2020)
Andrew Golightly, Chris Sherlock
Efficient sampling of conditioned Markov jump processes. Stat. Comput. 29 (5) (2019)
Tom Ryder, Andrew Golightly, Isaac Matthews, Dennis Prangle
Scalable approximate inference for state space models with normalising flows. CoRR (2019)
Andrew Golightly, Emma Bradley, Tom Lowe, Colin S. Gillespie
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models. Comput. Stat. Data Anal. 136 (2019)
Tom Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
Black-Box Autoregressive Density Estimation for State-Space Models. CoRR (2018)
Andrew Golightly, Theodore Kypraios
schemes for stochastic kinetic models. Stat. Comput. 28 (6) (2018)
Thomas Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
Black-Box Variational Inference for Stochastic Differential Equations. ICML (2018)
Gavin A. Whitaker, Andrew Golightly, Richard J. Boys, Chris Sherlock
Improved bridge constructs for stochastic differential equations. Stat. Comput. 27 (4) (2017)
Andrew Golightly, Daniel A. Henderson, Chris Sherlock
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models. Stat. Comput. 25 (5) (2015)
Andrew Golightly, Darren J. Wilkinson
Bayesian inference for nonlinear multivariate diffusion models observed with error. Comput. Stat. Data Anal. 52 (3) (2008)
Andrew Golightly, Darren J. Wilkinson
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models. J. Comput. Biol. 13 (3) (2006)
Andrew Golightly, Darren J. Wilkinson
Bayesian sequential inference for nonlinear multivariate diffusions. Stat. Comput. 16 (4) (2006)
Andrew Golightly, Tony Smith
An experimental speech to graphics system. CHINZ (2002)