| Clustering consistency with Dirichlet process mixtures F Ascolani, A Lijoi, G Rebaudo, G Zanella Biometrika 110 (2), 551-558, 2023 | 28 | 2023 |
| A closed-form filter for binary time series A Fasano, G Rebaudo, D Durante, S Petrone Statistics and Computing 31 (4), 1-20, 2021 | 20 | 2021 |
| Flexible clustering via hidden hierarchical Dirichlet priors A Lijoi, I Prünster, G Rebaudo Scandinavian Journal of Statistics 50 (1), 213-234, 2023 | 16 | 2023 |
| Separate exchangeability as modeling principle in Bayesian nonparametrics Q Lin, G Rebaudo, P Mueller arXiv preprint arXiv:2112.07755, 2021 | 6 | 2021 |
| Variational inference for the smoothing distribution in dynamic probit models A Fasano, G Rebaudo Book of short papers - SIS 2021, 1076-1081, 2021 | 5 | 2021 |
| Efficient expectation propagation for posterior approximation in high-dimensional probit models A Fasano, N Anceschi, B Franzolini, G Rebaudo Book of Short Papers - SIS 2023, 1133-1138, 2023 | 4* | 2023 |
| Bayesian inference for the multinomial probit model under Gaussian prior distribution A Fasano, G Rebaudo, N Anceschi Book of Short Papers - SIS 2022, 871-876, 2022 | 2 | 2022 |
| Multivariate species sampling processes B Franzolini, A Lijoi, I Prünster, G Rebaudo Working Paper, 2021 | 2 | 2021 |
| Graph-aligned random partition model (GARP) G Rebaudo, P Mueller arXiv preprint arXiv:2306.08485, 2023 | 1 | 2023 |
| Entropy regularization in probabilistic clustering B Franzolini, G Rebaudo Statistical Methods & Applications, 1-24, 2023 | | 2023 |
| Contributed discussion to" Giordano, R., Liu, R., Jordan, MI, Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion … G Rebaudo, A Fasano, B Franzolini, M Peter Bayesian Analysis 18 (1), 287-366, 2023 | | 2023 |
| A discussion of “Martingale posterior distributions” by Fong, Holmes and Walker M Catalano, A Fasano, G Rebaudo Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023 | | 2023 |
| Expectation propagation for the smoothing distribution in dynamic probit N Anceschi, A Fasano, G Rebaudo Bayesian Statistics, New Generations New Approaches (BaYSM2022), 2023 | | 2023 |
| Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict B Franzolini, L Bondi, A Fasano, G Rebaudo Book of Short Papers - CLADAG 2023, 465-468, 2023 | | 2023 |
| Efficient computation of predictive probabilities in probit models via expectation propagation A Fasano, N Anceschi, B Franzolini, G Rebaudo Book of Short Papers - CLADAG 2023, 449-452, 2023 | | 2023 |
| A discussion on: “Evaluating sensitivity to the stick-breaking prior in Bayesian nonparametrics” by Giordano, Liu, Jordan and Broderick G Rebaudo, A Fasano, B Franzolini, P Müller Bayesian Analysis 18, 345-347, 2023 | | 2023 |
| Bayesian mixed multidimensional scaling for auditory processing G Rebaudo, F Llanos, B Chandrasekaran, A Sarkar arXiv preprint arXiv:2209.00102, 2022 | | 2022 |
| Individual differences in working memory impact task engagement and decision processes during speech category learning CL Roark, G Paulon, G Rebaudo, JR McHaney, A Sarkar, ... | | 2022 |
| A regularized-entropy estimator to enhance cluster interpretability in Bayesian nonparametrics B Franzolini, G Rebaudo Book of Short Papers - SIS 2022, 387-398, 2022 | | 2022 |
Augusto FasanoAssistant Professor (RTD-A) of StatisticsVerified email at unicatt.it
