Richard G. Everitt

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Daniel J WilsonUniversity of OxfordVerified email at bdi.ox.ac.uk
Tanya GolubchikSydney Institute for Infectious Diseases, School of Medical Sciences, University of SydneyVerified email at sydney.edu.au
Xavier DidelotUniversity of WarwickVerified email at warwick.ac.uk
Ruth R MillerCanexia HealthVerified email at canexiahealth.com
Elizabeth M BattySenior bioinformatician, Mahidol-Oxford Tropical Research UnitVerified email at well.ox.ac.uk
Rory BowdenWalter and Eliza Hall Institute of Medical ResearchVerified email at wehi.edu.au
Sarah WalkerProfessor of Medical Statistics and Epidemiology, Oxford University and University College LondonVerified email at ndm.ox.ac.uk
Adam M. JohansenUniversity of WarwickVerified email at warwick.ac.uk
John FinneyUniversity of OxfordVerified email at ndm.ox.ac.uk
Prof Martin LlewelynBrighton and Sussex Medical SchoolVerified email at bsms.ac.uk
Daniel John LawsonUniversity of BristolVerified email at bristol.ac.uk
Dennis PrangleBristol UniversityVerified email at bristol.ac.uk
Zamin IqbalEuropean Bioinformatics Institute - EMBLVerified email at ebi.ac.uk
Andy RimmerWellcome Trues Centre For Human Genetics, OxfordVerified email at well.ox.ac.uk
Teresa StreetUniversity of OxfordVerified email at ndm.ox.ac.uk
Pierre AlquierESSEC Business SchoolVerified email at essec.edu
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Felipe Medina-AguayoInstituto Tecnológico Autónomo de México (ITAM)Verified email at itam.mx
Adam Auton23andMeVerified email at 23andme.com
Mark BriersAlan Turing InstituteVerified email at turing.ac.uk

Richard G. Everitt

University of Warwick

Verified email at warwick.ac.uk - Homepage

Statistics Bayesian statistics Monte Carlo methods Statistical Genetics Genomics


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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	347	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	292	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	206	2013
Noisy Monte Carlo: Convergence of Markov chains with approximate transition kernels P Alquier, N Friel, R Everitt, A Boland Statistics and Computing 26 (1-2), 29-47, 2016	155	2016
Likelihood-free estimation of model evidence X Didelot, RG Everitt, AM Johansen, DJ Lawson Bayesian Analysis 6 (1), 49-76, 2011	151	2011
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	137*	2014
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks RG Everitt Journal of Computational and Graphical Statistics 21 (4), 940-960, 2012	109	2012
Bayesian model comparison with un-normalised likelihoods RG Everitt, AM Johansen, E Rowing, M Evdemon-Hogan Statistics and Computing 27, 403-422, 2017	36	2017
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	36	2006
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	33	2020
A rare event approach to high-dimensional approximate Bayesian computation D Prangle, RG Everitt, T Kypraios Statistics and Computing 28 (4), 819–834, 2018	31	2018
Sequential Monte Carlo with transformations RG Everitt, R Culliford, F Medina-Aguayo, DJ Wilson Statistics and Computing 30, 663-676, 2020	21*	2020
Multi-target out-of-sequence data association S Maskell, R Everitt, R Wright, M Briers Proceedings of the Seventh International Conference on Information Fusion …, 2004	21	2004
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, 2021	17	2021
Bootstrapped synthetic likelihood RG Everitt arXiv preprint arXiv:1711.05825, 2017	14	2017
Delayed acceptance ABC-SMC RG Everitt, PA Rowińska Journal of Computational and Graphical Statistics 30 (1), 55-66, 2021	13	2021
Hypothesis management in situation assessment RG Everitt, AD Marrs Proceedings of IEEE Aerospace Conference, 1895-1903, 2003	8	2003
Marginal sequential Monte Carlo for doubly intractable models RG Everitt, D Prangle, P Maybank, M Bell arXiv preprint arXiv:1710.04382, 2017	6	2017
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	6	2013
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	4	2022

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