| Gaussian graphical modeling for spectrometric data analysis L Codazzi, A Colombi, M Gianella, R Argiento, L Paci, A Pini Computational statistics & data analysis 174, 107416, 2022 | 11 | 2022 |
| Learning block structured graphs in Gaussian graphical models A Colombi, R Argiento, L Paci, A Pini Journal of Computational and Graphical Statistics 33 (1), 152-165, 2024 | 3 | 2024 |
| Mixture modeling via vectors of normalized independent finite point processes A Colombi, A Raffaele, C Federico, P Lucia arXiv:2310.20376, 2023 | 2 | 2023 |
| Hierarchical Mixture of Finite Mixtures A Colombi, R Argiento, F Camerlenghi, L Paci Bayesian Analysis 1 (1), 1-29, 2025 | | 2025 |
| Clustering Athlete Performances in Track and Field Sports R Argiento, A Colombi, L Modotti, S Montagna Book of Short Papers, 23-28, 2023 | | 2023 |
| Block Structured Graph Priors in Gaussian Graphical Models A Colombi Argiento, R., Camerlenghi, F., Paganin, S. (eds) New Frontiers in Bayesian …, 2022 | | 2022 |
| Learning block structured graphs in Gaussian graphical models with an application to functional data analysis A COLOMBI | | 2019 |
Lucia PaciUniversità Cattolica del Sacro Cuore, MilanoVerified email at unicatt.it
