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Year Authors Title
  2021 Wyse J, Mangan, R and Zgaga L Power determination in vitamin D randomised control trials and characterising factors affecting it through a novel simulation-based tool Scientific Reports, 11, pp10804. DOI:
  2021 Ford C., Wyse J. and Barrett E. Time and belief in exercise importance predict increased activity during initial COVID-19 restrictions in Ireland Health Promotion International. DOI:
  2021 Jaouimaa F., Dempsey D., van Osch S., Kinsella S., Burke K., Wyse J. and Sweeney J. An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost PLOS ONE, 16(12)
  2021 Benavoli A., Wyse J. and White A. Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect PROBPROG
  2020 McHugh C, Hind K, Davey D, Wyse J, Wilson F Supersizing athletes risks increasing visceral fat and not muscle mass; a study of across season changes in body composition in professional rugby Journal of the American College of Cardiology, 75(11), pp1611-1611. DOI:
  2020 Cunningham J, Broglio S, Wyse J, McHugh C, Farrel G, Denvir K, Wilson F Athlete concussion history recall is underestimated: a validation study of selfreported concussion history among current professional rugby union players Brain Injury. DOI:
  2018 Moran S. M., Monach P. A., Zgaga L., Cuthbertson D., Carette S., Khalidi N. A., Koening C. L., Langford C. A., McAlear C. A.,... Urinary soluble CD163 and monocyte chemoattractant protein-1 in the identification of subtle renal flare in anti-neutrophil cytoplasmic antibody–associated vasculitis Nephrology Dialysis Transplantation, pp1-9. DOI:
  2017 Wyse, J., Friel, N. and Latouche, P. Inferring structure in bipartite networks using the latent block model and exact ICL Network Science (Cambridge University Press), 5(1), pp45-69. DOI:
  2017 Ryan, C., Wyse, J. and Friel, N. Bayesian model selection for the latent position cluster model for Social Networks Network Science (Cambridge University Press), 5(1), pp70-91. DOI:
  2017 Wyse J. and White A. Discussion of "A Bayesian information criterion for singular models" by M. Drton and M. Plummer Journal of the Royal Statistical Society, Series B (Methodological), 79, pp1-38
  2016 White, A., Wyse, J., Murphy, T. B. Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler Statistics and Computing (Springer), 26, pp511-527. DOI:
  2016 Friel, N., Rastelli, R., Wyse, J., and Raftery, A. E. Interlocking directorates in Irish companies using bipartite networks: a latent space approach Proceedings of the National Academy of Sciences (United States National Academy of Sciences), 113(24), pp6629-6634. DOI:
  2016 Wyse, J. and White A. Discussion of "Statistical modelling of citation exchange between statistics journals" by C. Varin, M. Cattelan and D. Firth Journal of the Royal Statistical Society, Series A (Statistics & Society), 179, pp1-63
  2014 Friel, N., Hurn, M. and Wyse, J. Improving power posterior estimation of statistical evidence. Statistics and Computing (Springer), 24, pp709-723. DOI:
  2012 Friel, N. and Wyse, J. Estimating the statistical evidence -- a review Statistica Neerlandica (Wiley), 66, pp288-308. DOI:
  2012 Wyse, J. and Friel, N. Block clustering with collapsed latent block models Statistics and Computing (Springer), 22, pp415-428. DOI:
  2011 Wyse, J., Friel, N. and Rue, H. Approximate simulation-free Bayesian inference for multiple changepoint models with dependence within segments (with discussion) Bayesian Analysis (International Society for Bayesian Analysis), 6, pp501-528. DOI:
  2011 Friel N. and Wyse J. Discussion of Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods by M. Girolami and B. Calderhead Journal of the Royal Statistical Society, Series B (Methodological), 73, pp123-214

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