Publications

Articles in refereed journals

  • Colombi A., Argiento, R., Camerlenghi, F., & Paci, L. How many unseen species are in multiple areas? arXiv, 2025+, [Link].
  • Colombi A., Argiento, R., Camerlenghi, F., & Paci, L. Hierarchical Mixture of Finite Mixtures. Bayesian Analysis, 2024, [Link].
  • Colombi A., Argiento, R., Paci, L., & Pini, A. Learning block structured graphs in Gaussian graphical models. Journal of Graphical and Computational Statistics, 2023, [Link]. [Link arXiv].
  • Codazzi L., Colombi A., Gianella M., Argiento R., Paci L., Pini A., Gaussian graphical modeling for spectrometric data analysis, Computational Statistics & Data Analysis, 2022 [Link].

    • R packages

  • Block Graph Structural Learning (BGSL), main creator.
  • Functional Graphical Models (FGM), created along with Codazzi L. and Gianella M.

    • Awards

  • Winner of prize Best Objective Prediction at hackathon Stats under the stars (SUS), Ancona, Italy, June 20 - 21, 2023
    Team members : Teresa Bortolotti, Alessandro Colombi, Luca Presicce, Valentina Zangirolami
  • Best talk in Applications and Computation, BAYSM, 2021.
    Talk title : Learning Block Structured Graphs in Gaussian Graphical Models

    • About Me

    I submitted my Ph.D. thesis in Statistics in November and expect to be awarded the degree in February. I completed my doctoral studies at the Department of Economics, Management and Statistics (DEMS) at the University of Milano-Bicocca, under the supervision of Raffaele Argiento and Lucia Paci. Prior to joining the University of Milano-Bicocca, I earned a degree in Mathematical Engineering from Politecnico di Milano.

    Starting in January 2026, I will join the Bocconi Institute for Data Science and Analytics (BIDSA) at Bocconi University, where I will work with Daniele Durante on the NEMESIS project [(see here)].

    My research interests lie in Bayesian methods for modeling complex data. In particular, I focus on undirected Gaussian graphical models, mixture models for clustering, species and feature sampling problems, and dynamic completely random measures. I place strong emphasis on computational aspects and enjoy C++ programming, especially when combined with an R interface.

    Reasonably Up-to-date CV

    Contact

    Oterwise, write me at: a.colombi10@campus.unimib.it

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