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

Camerlenghi, F., Corradin, R., & Ongaro, A. (2021). On the convex combination of a Dirichlet process with a diffuse probability measure. In Book of short papers - SIS 2021 (pp.739-744). Pearson. 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). Torino : Pearson. Dettaglio

Ascari, R., Migliorati, S., & Ongaro, A. (2021). The Double Flexible Dirichlet: A Structured Mixture Model for Compositional Data. In Y. Dimotikalis, A. Karagrigoriou, C. Parpoula, & C.H. Skiadas (a cura di), Applied Modeling Techniques and Data Analysis 2
Financial, Demographic, Stochastic and Statistical Models and Methods
Volume 8 - Big Data, Artificial Intelligence and Data Analysis. Wiley. Dettaglio

Ascari, R., Migliorati, S., & Ongaro, A. (2020). A new prior distribution on the simplex: the extended flexible Dirichlet. Intervento presentato a: SIS 2020, Pisa. Dettaglio