CORRADIN RICCARDO

Amati, V., Corradin, R., Fiori, A., Pasquazzi, L., Romio, S. (2026). Rethinking Statistics Education with Innovative Tools for High School Teachers. In F. Martella, S. Arima, M.F. Marino, C. Mollica (a cura di), Statistical Science: From Theory to Applied Research II SIS-FENStatS 2026, Short Papers, Contributed Sessions 1 (pp. 70-75). Springer [10.1007/978-3-032-30877-1_12]. Dettaglio

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

Danese, L., Corradin, R., Ongaro, A. (2025). Change Points Detection in EU Inflation Rates. In E. di Bella, V. Gioia, C. Lagazio, S. Zaccarin (a cura di), Statistics for Innovation III SIS 2025, Short Papers, Contributed Sessions 2 (pp. 67-72). Springer [10.1007/978-3-031-95995-0_12]. Dettaglio

Beraha, M., Corradin, R. (2025). Bayesian Nonparametric Model-based Clustering with Intractable Distributions: An ABC Approach. BAYESIAN ANALYSIS, 20(3 (September 2025)), 681-708 [10.1214/24-ba1416]. Dettaglio

Corradin, R., Danese, L., Khudabukhsh, W., Ongaro, A. (2024). Model-based clustering of time-dependent observations with common structural changes [Altro]. Dettaglio