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

Ascari, R., Di Brisco, A., Migliorati, S., Ongaro, A. (2026). FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework. COMPUTATIONAL STATISTICS, 41(2) [10.1007/s00180-026-01720-y]. Dettaglio

D'Angelo, L., Nipoti, B., Ongaro, A. (2025). Modeling Related Survival Samples via Dependent Nonparametric Mixtures. In Statistics for Innovation III SIS 2025, Short Papers, Contributed Sessions 2 Conference proceedings (pp.73-78). Springer [10.1007/978-3-031-95995-0_13]. 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

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