D'ANGELO LAURA

D'Angelo, L., Nipoti, B., Rigon, T. (2026). A scale-only nonparametric mixture model for clustering covariance matrices: an application to olive oil chemical profiles. In F. Martella, S. Arima, M.F. Marino, C. Mollica (a cura di), Statistical Science: From Theory to Applied Research III (pp. 100-104). Springer [10.1007/978-3-032-30881-8_17]. Dettaglio

D'Angelo, L. (2026). A comparison of computational approaches for posterior inference in Bayesian Poisson regression. In Statistical Learning, Sustainability and Impact Evaluation
SIS 2023, Ancona, Italy, June 21–23

Conference proceedings. Dettaglio

D’Angelo, L., Denti, F. (2026). A Finite-Infinite Shared Atoms Nested Model for the Bayesian Analysis of Large Grouped Data Sets. BAYESIAN ANALYSIS, 21(1), 105-138 [10.1214/24-BA1458]. 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

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