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Year Authors Title
  2017 Wyse, J., Friel, N. and Latouche, P. Inferring structure in bipartite networks using the latent block model and exact ICL Network Science, 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, 5(1), pp70-91. DOI:
  2016 White, A., Wyse, J., Murphy, T. B. Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler Statistics and Computing, 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, 113(24), pp6629-6634. DOI:
  2014 Friel, N., Hurn, M. and Wyse, J. Improving power posterior estimation of statistical evidence. Statistics and Computing, 24, pp709-723. DOI:
  2012 Friel, N. and Wyse, J. Estimating the statistical evidence -- a review Statistica Neerlandica, 66, pp288-308. DOI:
  2012 Wyse, J. and Friel, N. Block clustering with collapsed latent block models Statistics and Computing, 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, 6, pp501-528. DOI:

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