Articoli con mandati relativi all'accesso pubblico - Andrew GolightlyUlteriori informazioni
Disponibili pubblicamente: 13
Black-box variational inference for stochastic differential equations
T Ryder, A Golightly, AS McGough, D Prangle
International Conference on Machine Learning, 4423-4432, 2018
Mandati: UK Engineering and Physical Sciences Research Council
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
Mandati: Australian Research Council, UK Engineering and Physical Sciences Research …
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms
S Wiqvist, A Golightly, AT McLean, U Picchini
Computational Statistics & Data Analysis 157, 107151, 2021
Mandati: Swedish Research Council
Paediatric Rehabilitation Ingredients Measure: a new tool for identifying paediatric neurorehabilitation content
R Forsyth, D Young, G Kelly, K Davis, C Dunford, A Golightly, L Marshall, ...
Developmental Medicine & Child Neurology 60 (3), 299-305, 2018
Mandati: National Institute for Health Research, UK
The neural moving average model for scalable variational inference of state space models
T Ryder, D Prangle, A Golightly, I Matthews
Uncertainty in Artificial Intelligence, 12-22, 2021
Mandati: UK Engineering and Physical Sciences Research Council
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
NE Hannaford, SE Heaps, TMW Nye, TP Curtis, B Allen, A Golightly, ...
Computational Statistics & Data Analysis 179, 107659, 2023
Mandati: UK Engineering and Physical Sciences Research Council
Inference for epidemic models with time‐varying infection rates: Tracking the dynamics of oak processionary moth in the UK
LE Wadkin, J Branson, A Hoppit, NG Parker, A Golightly, AW Baggaley
Ecology and Evolution 12 (5), e8871, 2022
Mandati: UK Engineering and Physical Sciences Research Council
Estimating the reproduction number, R0, from individual-based models of tree disease spread
LE Wadkin, J Holden, R Ettelaie, MJ Holmes, J Smith, A Golightly, ...
Ecological Modelling 489, 110630, 2024
Mandati: UK Engineering and Physical Sciences Research Council, UK Natural …
Accelerating Bayesian inference for stochastic epidemic models using incidence data
A Golightly, LE Wadkin, SA Whitaker, AW Baggaley, NG Parker, ...
Statistics and Computing 33 (6), 134, 2023
Mandati: UK Engineering and Physical Sciences Research Council, UK Natural …
Quantifying invasive pest dynamics through inference of a two-node epidemic network model
LE Wadkin, A Golightly, J Branson, A Hoppit, NG Parker, AW Baggaley
Diversity 15 (4), 496, 2023
Mandati: UK Engineering and Physical Sciences Research Council, UK Natural …
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
HF Fisher, RJ Boys, CS Gillespie, CJ Proctor, A Golightly
Biometrics 78 (3), 1195-1208, 2022
Mandati: UK Engineering and Physical Sciences Research Council
Bayesian classification of OXPHOS deficient skeletal myofibres
J Childs, TB Gomes, A Vincent, A Golightly, C Lawless
PLoS Computational Biology, 2025
Mandati: UK Engineering and Physical Sciences Research Council, National Institute …
Estimating the reproduction number, R0, from agent-based models of tree disease spread
LE Wadkin, J Holden, R Ettelaie, MJ Holmes, J Smith, A Golightly, ...
bioRxiv, 2023.08. 03.551748, 2023
Mandati: UK Engineering and Physical Sciences Research Council, UK Natural …
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