ONGARO ANDREA

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]. Detail

Camerlenghi, F., Corradin, R., Ongaro, A. (2024). Contaminated Gibbs-Type Priors. BAYESIAN ANALYSIS, 19(2), 347-376 [10.1214/22-BA1358]. Detail

Ascari, R., Brisco, A., Migliorati, S., Ongaro, A. (2024). A Multivariate Mixture Regression Model for Constrained Responses. BAYESIAN ANALYSIS, 19(2 (June 2024)), 377-405 [10.1214/22-BA1359]. Detail

Ongaro, A., Migliorati, S., Ascari, R., Ripamonti, E. (2024). Testing practical relevance of treatment effects. STATISTICAL PAPERS, 65(7), 4121-4145 [10.1007/s00362-024-01549-x]. Detail

Ascari, R., Migliorati, S., Ongaro, A. (2023). An alternative to the Dirichlet-multinomial regression model for microbiome data analysis. In SEAS IN Book of short papers 2023 (pp.95-100). Detail