2022

Watson, Joseph W., Boyd, Robin, Dutta, Ritabrata, Vasdekis, Georgios, Walker, Nicola D., Roy, Shovonlal, Everitt, Richard G., Hyder, Kieran and Sibly, Richard M. (2022) Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰. Ecological Modelling, 466 . p. 109878. doi:10.1016/j.ecolmodel.2022.109878

2021

Everitt, Richard G. and Rowińska, Paulina A. (2021) Delayed acceptance ABC-SMC. Journal of Computational and Graphical Statistics, 30 (1). pp. 55-66. doi:10.1080/10618600.2020.1775617

Drovandi, Christopher, Everitt, Richard G., Golightly, Andrew and Prangle, Dennis (2021) Ensemble MCMC : accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter. Bayesian Analysis . pp. 1-38. doi:10.1214/20-BA1251

2020

Mansfield, L. A., Nowack, P. J., Kasoar, M., Everitt, Richard G., Collins, W. J. and Voulgarakis, A. (2020) Predicting global patterns of long-term climate change from short-term simulations using machine learning. npj Climate and Atmospheric Science, 3 . 44. doi:10.1038/s41612-020-00148-5

Everitt, Richard G., Culliford, Richard, Medina-Aguayo, Felipe and Wilson, Daniel J. (2020) Sequential Monte Carlo with transformations. Statistics and Computing, 30 . pp. 663-676. doi:10.1007/s11222-019-09903-y

2018

Prangle, Dennis, Everitt, Richard G and Kypraios, Theodore (2018) A rare event approach to high-dimensional Approximate Bayesian computation. Statistics and Computing, 28 (4). pp. 819-834. doi:10.1007/s11222-017-9764-4

Everitt, Richard G. (2018) Efficient importance sampling in low dimensions using affine arithmetic. Computational Statistics & Data Analysis, 33 (1). pp. 1-29. doi:10.1007/s00180-017-0729-z

2017

Everitt, R. G., Johansen, Adam M., Rowing, E. and Evdemon-Hogan, M. (2017) Bayesian model comparison with un-normalised likelihood. Statistics and Computing, 27 (2). pp. 403-422. doi:10.1007/s11222-016-9629-2

2016

Alquier, P., Friel, N., Everitt, R. and Boland, A. (2016) Noisy Monte Carlo : convergence of Markov chains with approximate transition kernels. Statistics and Computing, 26 (1). pp. 29-47. doi:10.1007/s11222-014-9521-x

2014

Everitt, Richard G., Didelot, Xavier, Batty, Elizabeth M., Miller, Ruth R, Knox, Kyle, Young, Bernadette C., Bowden, Rory, Auton, Adam, Votintseva, Antonina, Larner-Svensson, Hanna, Charlesworth, Jane, Golubchik, Tanya, Ip, Camilla L. C., Godwin, Heather, Fung, Rowena, Peto, Tim E. A., Walker, A. Sarah, Crook, Derrick W. and Wilson, Daniel J. (2014) Mobile elements drive recombination hotspots in the core genome of Staphylococcus aureus. Nature Communications, 5 (1). 3956. doi:10.1038/ncomms4956

Gordon, N C, Price, J R, Cole, K, Everitt, Richard G., Morgan, M, Finney, J, Kearns, A M, Pichon, B, Young, B, Wilson, D J, Llewelyn, M J, Paul, J, Peto, T E A, Crook, D W, Walker, A S and Golubchik, T (2014) Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing. Journal of Clinical Microbiology, 52 (4). pp. 1182-1191. doi:10.1128/JCM.03117-13

2013

Everitt, Richard G., Andrieu, Christophe and Davy, Manuel (2013) Online bayesian inference in some time-frequency representations of non-stationary processes. IEEE Transactions on Signal Processing, 61 (22). pp. 5755-5766. doi:10.1109/TSP.2013.2280128

(2013) Within-host evolution of Staphylococcus aureus during asymptomatic carriage. PLoS One, 8 (5). e61319. doi:10.1371/journal.pone.0061319

2012

Everitt, Richard G. (2012) Bayesian parameter estimation for latent Markov random fields and social networks. Journal of Computational and Graphical Statistics, 21 (4). pp. 940-960. doi:10.1080/10618600.2012.687493

(2012) Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease. Proceedings of the National Academy of Sciences of the United States of America, 109 (12). pp. 4550-4555. doi:10.1073/pnas.1113219109

2011

Didelot, Xavier, Everitt, Richard G., Johansen, Adam M. and Lawson, Daniel J. (2011) Likelihood-free estimation of model evidence. Bayesian Analysis, Vol.6 (No.1). pp. 49-76. doi:10.1214/11-BA602

2009

Everitt, Richard G. and Glendinning, Richard H. (2009) A statistical approach to the problem of restoring damaged and contaminated images. Pattern Recognition, 42 (1). pp. 115-125. doi:10.1016/j.patcog.2008.06.009

2006

Maskell, Simon R., Everitt, Richard G., Wright, Robert and Briers, Mark (2006) Multi-target out-of-sequence data association : tracking using graphical models. Information Fusion, 7 (4). pp. 434-447. doi:10.1016/j.inffus.2005.07.001

2004

Maskell, Simon R., Everitt, Richard G., Wright, Robert and Briers, Mark (2004) Multi-target out-of-sequence data association. In: Proceedings of the Seventh International Conference on Information Fusion

2003

Everitt, Richard G. and Marrs, A. D. (2003) Hypothesis management in situation assessment. In: 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652), Big Sky, MT, USA, 8-15 Mar 2003 . Published in: 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652), 4 pp. 1895-1903. ISSN 1095-323X . doi:10.1109/AERO.2003.1235120