Michael Fop
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Michael Fop

Assistant Professor of Statistics

University College Dublin

News

2022

November

  • Talk – Back to Sicily again! Thanks Roberto di Mari for inviting me at the University of Catania to present our joint work with Riccardo Rastelli on clustering time-dependent network interaction data (paper here).

  • New preprint! – Gwee X. Y., Gormley I. C., Fop M. (2022)
    A latent shrinkage position model for binary and count network data. arXiv | Code

October

  • New paper! – Our work Group-wise shrinkage estimation in penalized model-based clustering with Alessandro Casa and Andrea Cappozzo is now published in the Journal of Classification! Check it out here, code is available here.

September

  • Talk – Just back from Sicily where I participated in the 6th Workshop on Models and Learning in Clustering and Classification (MBC2) – Presented some work in progress on clustering mixed-type data …stay tuned!

  • Lecture – A pleasure to give a class on programming with R to the new cohort of the SFI CRT Foundations of Data Science students!

July

  • Talk – Attended 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.

  • Talk – Back again to the Working Group in Model-based Clustering, albeit on Zoom, to present our research on Model-based clustering of mixed-type data via mixtures of mixed graphical models.


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.

  • Talk – Enjoyed to be back to the Working Group in Model-based Clustering in Athens! It was great to see again so many “colleagfriends”!

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

  • 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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