ONGARO ANDREA

Corradin, R., Danese, L., Khudabukhsh, W., Ongaro, A. (2026). Model-based clustering of time-dependent observations with common structural changes. STATISTICS AND COMPUTING, 36(1 (February 2026)) [10.1007/s11222-025-10756-x]. Dettaglio

D'Angelo, L., Nipoti, B., Ongaro, A. (2025). Two-Level Clustering of Patients and Hospitals via Thinned Dependent Dirichlet Process Mixtures. In A. Pollice, P. Mariani (a cura di), Methodological and Applied Statistics and Demography II SIS 2024, Short Papers, Solicited Sessions (pp. 37-42). Springer [10.1007/978-3-031-64350-7_7]. Dettaglio

Ascari, R., Migliorati, S., Ongaro, A. (2025). A New Dirichlet-Multinomial Mixture Regression Model for the Analysis of Microbiome Data. STATISTICS IN MEDICINE, 44(18-19 (August 2025)) [10.1002/sim.70220]. Dettaglio

Danese, L., Corradin, R., Ongaro, A. (2025). Change Points Detection in EU Inflation Rates. In E. di Bella, V. Gioia, C. Lagazio, S. Zaccarin (a cura di), Statistics for Innovation III SIS 2025, Short Papers, Contributed Sessions 2 (pp. 67-72). Springer [10.1007/978-3-031-95995-0_12]. Dettaglio

Corradin, R., Danese, L., Khudabukhsh, W., Ongaro, A. (2024). Model-based clustering of time-dependent observations with common structural changes [Altro]. Dettaglio