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). 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

D'Angelo, L. (2025). Exploring the Challenges of the Analysis of the Allen Brain Observatory Dataset. In A. Canale, A. Luati, S. Mazzuco, R. Piccarreta, N. Sartori, P. Secchi (a cura di), Advances in Neural Data Science Data Research Camp 2022, Venice, Italy, July 12–15 Conference proceedings (pp. 1-11). Springer [10.1007/978-3-031-70638-7_1]. Dettaglio