• Rastelli, R., Fop, M. (2019)
    A dynamic stochastic blockmodel for interaction lengths.
    Submitted. arXiv | R package


  • Fop, M., Murphy, T.B., and Scrucca, L. (2018)
    Model-based clustering with sparse covariance matrices.
    Statistics and Computing, online preprint. Link | arXiv | R package

  • O’Connor S., McCaffrey N., Whyte E.F., Fop M., Murphy T.B.,and Moran K.A. (2018)
    Is poor hamstring flexibility a risk factor for hamstring injury in Gaelic games?
    Journal of Sport Rehabilitation, online edition. Link

  • Fop, M., and Murphy, T.B. (2018)
    Variable selection methods for model-based clustering.
    Statistics Surveys, 12, 18-65. Link | arXiv | R code

  • Fop, M., Smart, K., and Murphy, T.B. (2017)
    Variable selection for latent class analysis with application to low back pain diagnosis.
    Annals of Applied Statistics, 11(4), 2085–2115. Link | arXiv | R package

  • Scrucca, L., Fop, M., Murphy, T.B., and Raftery, A.E. (2016)
    mclust 5: Clustering, classification and density estimation using Gaussian finite mixture models.
    The R Journal, 8(1), 289-317. Link | R package