Richard G. Everitt
Cited by
Cited by
Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing
NC Gordon, JR Price, K Cole, R Everitt, M Morgan, J Finney, AM Kearns, ...
Journal of Clinical Microbiology 52 (4), 1182-1191, 2014
Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease
BC Young, T Golubchik, EM Batty, R Fung, H Larner-Svensson, ...
Proceedings of the National Academy of Sciences 109 (12), 4550-4555, 2012
Within-host evolution of Staphylococcus aureus during asymptomatic carriage
T Golubchik, EM Batty, RR Miller, H Farr, BC Young, H Larner-Svensson, ...
PloS one 8 (5), e61319, 2013
Noisy Monte Carlo: Convergence of Markov chains with approximate transition kernels
P Alquier, N Friel, R Everitt, A Boland
Statistics and Computing 26 (1), 29-47, 2016
Mobile elements drive recombination hotspots in the core genome of Staphylococcus aureus
RG Everitt, X Didelot, EM Batty, RR Miller, K Knox, BC Young, R Bowden, ...
Nature Communications 5, 2014
Likelihood-free estimation of model evidence
X Didelot, RG Everitt, AM Johansen, DJ Lawson
Bayesian Analysis 6 (1), 49-76, 2011
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
RG Everitt
Journal of Computational and Graphical Statistics 21 (4), 940-960, 2012
Predicting global patterns of long-term climate change from short-term simulations using machine learning
LA Mansfield, PJ Nowack, M Kasoar, RG Everitt, WJ Collins, ...
npj Climate and Atmospheric Science 3 (1), 44, 2020
Multi-target out-of-sequence data association: Tracking using graphical models
SR Maskell, RG Everitt, R Wright, M Briers
Information Fusion 7 (4), 434-447, 2006
Bayesian model comparison with un-normalised likelihoods
RG Everitt, AM Johansen, E Rowing, M Evdemon-Hogan
Statistics and Computing 27, 403-422, 2017
A rare event approach to high-dimensional approximate Bayesian computation
D Prangle, RG Everitt, T Kypraios
Statistics and Computing 28 (4), 819–834, 2018
Sequential Monte Carlo with transformations
RG Everitt, R Culliford, F Medina-Aguayo, DJ Wilson
Statistics and Computing 30, 663-676, 2020
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
Delayed acceptance ABC-SMC
RG Everitt, PA Rowińska
Journal of Computational and Graphical Statistics 30 (1), 55-66, 2021
Bootstrapped synthetic likelihood
RG Everitt
arXiv preprint arXiv:1711.05825, 2017
Hypothesis management in situation assessment
RG Everitt, AD Marrs
Proceedings of IEEE Aerospace Conference, 1895-1903, 2003
Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass
JW Watson, R Boyd, R Dutta, G Vasdekis, ND Walker, S Roy, R Everitt, ...
Ecological Modelling 466, 109878, 2022
Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes
RG Everitt, C Andrieu, M Davy
IEEE Transactions on Signal Processing 61 (22), 5755-5766, 2013
Marginal sequential Monte Carlo for doubly intractable models
RG Everitt, D Prangle, P Maybank, M Bell
arXiv preprint arXiv:1710.04382, 2017
Fast approximate Bayesian inference for stable differential equation models
P Maybank, I Bojak, RG Everitt
arXiv preprint arXiv:1706.00689, 2017
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Articles 1–20