Michael Fop
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Michael Fop

Assistant Professor of Statistics

University College Dublin

News

2022

July

  • Talk – Looking forward to participate in the 17th conference of the International Federation of Classification Societies, where I’ve been invited to present our work in the invited session on Dimension reduction organized by Cinzia Viroli.

2021

October

  • New paper! – Our work Unobserved classes and extra variables in high-dimensional discriminant analysis has been accepted for publication in Advances in Classification and Data Analysis, with Pierre-Alexandre Mattei, Charles Bouveyron and Brendan Murphy. Here links to arXiv and code.

June

  • Talk – Zoominar, Ca’ Foscari University of Venice, Italy
    A composite likelihood approach for model-based clustering of high-dimensional data.

May

  • New preprint! – Casa A., Cappozzo A., Fop M. (2021)
    Group-wise shrinkage for multiclass Gaussian Graphical Models. arXiv

April

  • Talk – Zoominar, Mitchell Centre for Social Network Analysis, UK
    Model-based clustering for multidimensional networks: An application to a terrorist network in Southeast Asia.

February

  • New preprint! – Fop M., Mattei P-A., Bouveyron C., Murphy T.B. (2021)
    Unobserved classes and extra variables in high-dimensional discriminant analysis. arXiv
  • I’ve joined the programme committee of IC2S2 2021, the 7th International Conference on Computational Social Science - Looking forward to it!



2020

  • Honoured to have been appointed reviewer in the editorial board of the Journal of Machine Learning Research.
  • New article! – Rastelli, R, and Fop, M. (2020) - A stochastic blockmodel for interaction lengths.
    Advances in Data Analysis and Classification, online Link | arXiv | R package
  • New preprint! – D’Angelo, S., and Alfò, M., and Fop, M. (2020)
    Model-based clustering for multivariate networks. arXiv
  • New R package! – covglasso – Estimation of sparse covariance matrices, on CRAN.

© 2022 Michael Fop
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       Very secret project.

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