ONGARO ANDREA

Corradin, R., Danese, L., Ongaro, A. (2022). Bayesian nonparametric change point detection for multivariate time series with missing observations. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 143(April 2022), 26-43 [10.1016/j.ijar.2021.12.019]. Dettaglio

Di Brisco, A., Ascari, R., Migliorati, S., Ongaro, A. (2022). The State of the Art in Flexible Regression Models for Univariate Bounded Responses. In Data Analysis and Related Applications 1 - Computational, Algorithmic and Applied Economic Data Analysis (pp. 99-114). Wiley [10.1002/9781394165513.ch8]. Dettaglio

Ongaro, A., Migliorati, S., Ripamonti, E. (2022). Statistical assessment of practical significance. In Book of Short Papers (pp.2017-2022). Pearson. Dettaglio

Di Brisco, A., Ascari, R., Migliorati, S., Ongaro, A. (2022). Simulation Studies for a Special Mixture Regression Model with Multivariate Responses on the Simplex. In Data Analysis and Related Applications 1 - Computational, Algorithmic and Applied Economic Data Analysis (pp. 115-132). Wiley [10.1002/9781394165513.ch9]. Dettaglio

Ascari, R., Di Brisco, A., Migliorati, S., Ongaro, A. (2021). Alternative parameterizations for regression models with constrained multivariate responses.. In Book of Short Papers SIS 2021 (pp.930-935). Pearson. Dettaglio