News

2023

November

• New preprint! – Gwee X. Y., Gormley I. C., Fop M. (2023)
  Variational inference for the latent shrinkage position model. arXiv

September

• New preprint! – Gwee X. Y., Gormley I. C., Fop M. (2023)
  Model-based clustering for network data via a latent shrinkage position cluster model. arXiv

• New paper! – A latent shrinkage position model for binary and count network data with Xian Yao Gwee and Claire Gormley to appear in the journal Bayesian Analysis! Preprint here and code here.

July

• Talk – Great to visit Carnegie Mellon University in Pittsburgh (USA) to present our work with Xian Yao Gwee and Claire Gormley on clustering and dimension reduction for network data at the Working Group in Model-based Clustering!
  They really love pickles in that city and pickle beer is really a thing!

• New preprint! – Cappozzo A., Casa A., Fop M. (2023)
  Sparse model-based clustering of three-way data via lasso-type penalties. arXiv

May

• Talk and course – I was at the University of Bologna to give a course on statistical network analysis and present our joint work with Xian Yao Gwee and Claire Gormley on shrinkage latent variable models for network data (check the paper here). Thanks Laura Anderlucci for inviting me, looking forward to visiting Bologna again!

April

• New paper! – Analysis of in vivo skin anisotropy using elastic wave measurements and Bayesian modelling is now published online in the Annals of Biomedical Engineering! With Matt Nagle and Aisling Ní Annaidh. Read it here!

February

• New paper! – Our work Model-based clustering for multidimensional social networks with Silvia D’Angelo and Marco Alfò has been accepted in the Journal of The Royal Statistical Society Series A – yay!! Read it here!

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!