Publications

Preprints

A. Mascaretti, D. R. Kowal. Graph-dependent shrinkage priors for Bayesian trend filtering. arXiv:2608.23802, 2026. [arXiv]

S. Acevedo, A. Mascaretti, R. Rende, M. Mahaut, M. Baroni, A. Laio. A quantitative analysis of semantic information in deep representations of text and images. Transactions on Machine Learning Research, 2026. [OpenReview]
A. Moroni, A. Mascaretti, J. Dens, P. Knaapen, A. Nap, Y. B. O. Somsen, J. Bennett, C. Ungureanu, Y. Bataille, S. Haine, P. Coussement, C. Zivelonghi et al. Machine Learning-Based Algorithm to Predict Procedural Success in a Large European Cohort of Hybrid Chronic Total Occlusion Percutaneous Coronary Interventions. The American Journal of Cardiology, 248:50–57, 2025. [doi]
A. Mascaretti, L. Dell'Agostino, M. Arena, A. Flori, A. Menafoglio, S. Vantini. Heterogeneity of technological structures between EU countries: An application of complex systems methods to Input–Output Tables. Expert Systems with Applications, 206:117875, 2022. [doi]

A. Mascaretti, A. Canale. Bayesian Mixtures of Envelope Models. Proceedings of the 36th International Workshop on Statistical Modelling, Edizioni Università di Trieste, 2022.
A. Mascaretti. Construction of a proper prior for a Bayesian envelope model. Book of Short Papers SIS 2022, pp. 893–898, 2022.

A. Mascaretti, N. Friel. Bayesian Global-Local Deconvolution of Neurological Data. Advances in Neural Data Science, pp. 75–89. Springer, 2025. [doi]

2026 — Poster, ISBA World Meeting 2026.
2026 — Invited seminar, Data Science Seminar, SISSA, Trieste.
2025 — Contributed talk, “Selection accuracy and errors in sparse models with the horseshoe prior”, CLADAG-VOC 2025, Naples.
2025 — Poster, “An approach to identify the most semantically informative deep representations of text and images”, Youth in High Dimensions, ICTP, Trieste.
2023 — Poster, “Nonparametric mixture of envelope models”, Statistical Methods and Models for Complex Data, Padua.
2023 — Invited talk, “Bayesian Envelope Models”, Ph.D. Students Seminar, Rice University, Houston.
2022 — Contributed talk, “Bayesian Mixtures of Envelope Models”, 36th International Workshop on Statistical Modelling (IWSM), Trieste.
2022 — Poster, “Bayesian nonparametric mixtures of Bayesian envelope models”, ISBA World Meeting 2022, Montréal.
2022 — Contributed talk, “Construction of a proper prior for a Bayesian envelope model”, 51st Meeting of the Italian Statistical Society (SIS 2022), Caserta.

mcts — Monte Carlo Tree Search sampler, parallel C++ (MPI) implementation.
moxier — An introduction to statistics with R: teaching package written during a research fellowship at Politecnico di Milano.

Annette Dariose Diffo Mboudjiho, Diploma thesis, ICTP.
Andrea Borra, Unsupervised and supervised transport mode detection of GPS phone data: Milano area as a case study, Politecnico di Milano, 2022.
Elena Zazzetti, Accessibility maps from global positioning system data. Two case studies: Maputo and Milan, Politecnico di Milano, 2020.
Irene Azzini, Estimation and analysis of origin destination matrices from global positioning system data, Politecnico di Milano, 2020.
Artem Ugarov, Automatic transport mode detection based on global positioning system data. Analysis of informal mobility in the city of Maputo, Politecnico di Milano, 2020.

Ph.D. Thesis — Bayesian Sparse Model for Complex Data, University of Padua, 2024.
M.Sc. Thesis — Politecnico di Milano, 2019.