FRANZOLINI, BEATRICE
FRANZOLINI, BEATRICE
Dipartimento di Scienze delle Decisioni
A regularized-entropy estimator to enhance cluster interpretability in Bayesian nonparametrics.
2022 Franzolini, Beatrice; Rebaudo, Giovanni
Bayesian clustering of multiple zero-inflated outcomes
2023 Franzolini, Beatrice; Cremaschi, Andrea; van den Boom, Willem; De Iorio, Maria
Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict
2023 Franzolini, Beatrice; Bondi, Laura; Fasano, Augusto; Rebaudo, Giovanni
Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the U.S. stock market
2024 Franzolini, Beatrice; Beskos, Alexandros; De Iorio, Maria; Poklewski Koziell, Warrick; Grzeszkiewicz, Karolina
Contributed discussion to "Giordano, R., Liu, R., Jordan, M.I., Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion). Bayesian Analysis. 2023;18(1):287"
2023 Rebaudo, Giovanni; Fasano, Augusto; Franzolini, Beatrice; Müller, Peter
Efficient computation of predictive probabilities in probit models via expectation propagation
2023 Fasano, Augusto; Anceschi, Niccolo; Franzolini, Beatrice; Rebaudo, Giovanni
Efficient expectation propagation for posterior approximation in high-dimensional probit models
2023 Fasano, Augusto; Anceschi, Niccolo; Franzolini, Beatrice; Rebaudo, Giovanni
Entropy regularization in probabilistic clustering
2024 Franzolini, Beatrice; Rebaudo, Giovanni
Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes
2023 Franzolini, Beatrice; Lijoi, Antonio; Pruenster, Igor
Nonparametric priors with full-range borrowing of information
In corso di stampa Ascolani, F; Franzolini, B; Lijoi, A; Pruenster, I
On Dependent Processes in Bayesian Nonparametrics: Theory, Methods, and Applications
2022 Franzolini, Beatrice
On Dependent Processes in Bayesian Nonparametrics: Theory, Methods, and Applications.
2022 Franzolini, Beatrice
On the dependence structure in Bayesian nonparametric priors
2021 Ascolani, Filippo; Franzolini, Beatrice; Lijoi, Antonio; Pruenster, Igor