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Publications

Publications

Year Authors Title
  2017 Brazil, W., White, A., Nogal, M., Caulfield., B. O'Connor, A. Morton, C. Weather and Rail Delays: Analysis of Metropolitan Rail in Dublin Journal of Transport Geography, 59, pp69-76
  2017 Carroll, P. and White, A. Identifying Patterns of Learner Behaviour: What Business Statistics Students do with Learning Resources INFORMS Transactions on Education, 18(1), pp1-13
  2016 Ryan, D.F., Dominique, M., Seaton, D., Stegen, K., and White, A. The effects of Flare Definitions on the Statistics of Derived Flare Distributions. Astronomy & Astrophysics, 592, pp1-14. DOI: http://dx.doi.org/10.1051/0004-6361/201628130
  2016 Arthur White and Thomas Brendan Murphy Mixed membership of experts stochastic blockmodel Network Science , pp48-80. DOI: http://dx.doi.org/10.1017/nws.2015.29
  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: http://dx.doi.org/10.1007/s11222-014-9542-5
  2016 Arthur White and Thomas Brendan Murphy Exponential family mixed membership models for soft clustering of multivariate data Advances in Data Analysis and Classification, 10(4), pp521-540. DOI: http://dx.doi.org/10.1007/s11634-016-0267-5
  2016 Sobotzki C, Riffelmann M, Kennerknecht N, Hülsse C, Littmann M, White A, Von Kries R, Wirsing VON König CH Latent class analysis of diagnostic tests for adenovirus, Bordetella pertussis and influenza virus infections in German adults with longer lasting coughs. Epidemiology and infection, 144(4), pp840-6. DOI: http://dx.doi.org/10.1017/S0950268815002149
  2014 Arthur White, Thomas Brendan Murphy BayesLCA: An R Package for Bayesian Latent Class Analysis Journal of Statistical Software, 61(13), pp1-28
  2012 Arthur J White, Jeffrey Chan, Conor Hayes, Brendan Murphy Mixed Membership Models for Exploring User Roles in Online Fora. ICWSM, pp599-602
  2012 Michael Salter‐Townshend, Arthur White, Isabella Gollini, Thomas Brendan Murphy Review of statistical network analysis: models, algorithms, and software Statistical Analysis and Data Mining: The ASA Data Science Journal, 5(4), pp243-264. DOI: http://dx.doi.org/10.1002/sam.11146

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