NIPOTI BERNARDO

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]. Detail

Barile, F., Lunagómez, S., Nipoti, B. (2025). Bayesian Nonparametric Modeling of Heterogeneous Populations of Networks. BAYESIAN ANALYSIS [10.1214/26-BA1588]. Detail

Barile, F., Lunagomez, S., Nipoti, B. (2025). Clustering Multiple Networks Data with an Application to the EU Food Trade Market. In A. Pollice, P. Mariani (a cura di), Methodological and Applied Statistics and Demography II
SIS 2024, Short Papers, Solicited Sessions (pp. 68-72). Springer Nature Switzerland [10.1007/978-3-031-64350-7_12]. Detail

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

Perlino, F., Nipoti, B., Williams, P., Bellavia, A. (2025). A Bayesian Parametric and Nonparametric Approach for the Imputation of Multivariate Left-Censored Data Due to Limit of Detection. STATISTICS IN MEDICINE, 44(28-30 (December 2025)) [10.1002/sim.70326]. Detail