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Results for Bayes factor • Dyad • Latent space • Markov chain Monte Carlo methods • Mixture model • Transitivity

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  1. Discussion on the paper by Handcock, Raftery and Tantrum.

    Snijders, T. A. B., Robinson, T., Atkinson, A. C., Riani, M., Gormley, I. C., Murphy, T. B., Sweeting, T., Leslie, D. S., Longford, N. T., Kent, J. T., Lawrance, T., Airoldi, E. M., Besag, J., Blei, D., Fienberg, S. E., Breiger, R., Butts, C. T., Doreian, P., Batagelj, V., Ferligoj, A. & 29 others, Draper, D., Van Duijn, M. A. J., Faust, K., Petrescu-Prahova, M., Forster, J. J., Gelman, A., Goodreau, S. M., Greenwood, P. E., Gruenberg, K. T., Francis, B. J., Hennig, C., Hoff, P. D., Hunter, D. R., Husmeier, D., Glasbey, C., Krackhardt, D., Kuha, J., Skrondal, A., Lawson, A., Liao, T. F., Mendes, B., Draper, D., Reinert, G., Richardson, S., Lewin, A., Titterington, D. M., Wasserman, S., Werhli, A. V. & Ghazal, P., 03/2007, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 170, 2, p. 322-354

    Research output: Contribution to journalComment/debatepeer-review