GIAMPINO ALICE

(2024). Innovative approaches to Bayesian Clustering Methods: parametric and nonparametric perspectives. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2024). Dettaglio

Ascari, R., Giampino, A. (2023). A Flexible Topic Model. In CLADAG 2023 - Book of abstracts and short papers - 14th Scientific Meeting of the Classification and DataAnalysis Group, Salerno, September 11-13, 2023 (pp.334-337). Milano : Pearson. Dettaglio

Giampino, A., Guindani, M., Nipoti, B., Vannucci, M. (2023). Changepoint detection with random partition models. In Book of Abstracts (pp.158-158). Dettaglio

Zonca, J., Giampino, A., Cherubini, P., Reverberi, F. (2023). Why do we waste social information?. Intervento presentato a: NeuroMI 2023 Annual Meeting of the Milan Center for Neuroscience % Dicembre 2023, Milan, Italy. Dettaglio

Ascari, R., Giampino, A. (2022). A generalization of the latent Dirichlet allocation. In PROGRAMME AND ABSTRACTS 16th International Conference on Computational and Financial Econometrics (CFE 2022) and 15th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2022) King’s College London, UK 17 – 19 December 2022 (pp.156-156). Dettaglio