For a complete list of publications refer to my curriculum vitae. Codes can be found in my GitHub repository.
Papers under Review
- Lin, Q., Rebaudo G. and Müller, P. Separate exchangeability as modeling principle in Bayesian nonparametrics. [arXiv]
- Rebaudo G., Llanos, F., Chandrasekaran B. and Sarkar, A. Bayesian mixed multidimensional scaling for auditory processing. [arXiv]
- Rebaudo, G. and Müller, P. Graph-aligned random partition model (GARP). [arXiv]
Papers in Peer-Reviewed Journals
- Roark, C. L., Paulon, G., Rebaudo, G., McHaney, J. R., Sarkar, A. and Chandrasekaran, B. (2024). Individual differences in working memory impact the trajectory of non-native speech category learning. PLOS ONE, in press. [PsyArXiv] [code]
- Franzolini, B. and Rebaudo, G. (2024). Entropy regularization in probabilistic clustering. Statistical Methods & Applications, in press. [link] [arXiv] [GitHub]
- Ascolani, F., Lijoi, A., Rebaudo G. and Zanella G. (2023). Clustering consistency with Dirichlet process mixtures. Biometrika, 110, 551-558. [link] [arXiv]
- Lijoi, A., Prünster, I. and Rebaudo G. (2023). Flexible clustering via hidden hierarchical Dirichlet priors. Scandinavian Journal of Statistics, 50, 213–234. [link] [arXiv]
- Fasano, A., Rebaudo, G., Durante D. and Petrone S. (2021). A closed-form filter for binary time series. Statistics and Computing, 31:47, 1-20. [link] [arXiv]
Discussions
- Catalano, M., Fasano, A., Giordano, M. and Rebaudo G. (2024) A discussion on: “Root and community inference on the latent growth process of a network” by Crane H. and Xu M. Journal of the Royal Statistical Society Series B, in press.
- Catalano, M., Fasano, A. and Rebaudo G. (2023) A discussion on: “Martingale posterior distributions” by Fong, E., Holmes C., and Walker S. Journal of the Royal Statistical Society Series B, 85, 1406-1407. [link]
- Rebaudo G., Fasano, A., Franzolini, B. and Müller, P. (2023) A discussion on: “Evaluating sensitivity to the stick-breaking prior in Bayesian nonparametrics” by Giordano, R., Liu, R., Jordan M. I. and Broderick T. Bayesian Analysis, 18, 345-347. [link] [pdf]
Conference Proceedings and Book Chapters (Peer-Reviewed)
- Anceschi N., Fasano, A. and Rebaudo G. (2023). Expectation propagation for the smoothing distribution in dynamic probit. Bayesian Statistics, New Generations New Approaches (BaYSM2022), 435, 105-115. [link] [pdf] [GitHub]
- Fasano, A., Anceschi N., Franzolini, B. and Rebaudo G. (2023) Efficient computation of predictive probabilities in probit models via expectation propagation. Book of Short Papers - CLADAG 2023, 449-452. [pdf] [GitHub]
- Franzolini, B., Bondi, L., Fasano, A. and Rebaudo G. (2023). Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict. Book of Short Papers - CLADAG 2023, 465-468. [pdf]
- Fasano, A., Anceschi N., Franzolini, B. and Rebaudo G. (2023) Efficient expectation propagation for posterior approximation in high-dimensional probit models. Book of Short Papers - SIS 2023, 1133-1138. [pdf] [GitHub]
- Fasano, A., Rebaudo G. and Anceschi N. (2022). Bayesian inference for the multinomial probit model under Gaussian prior distribution. Book of Short Papers - SIS 2022, 871-876. [link] [arXiv]
- Franzolini, B. and Rebaudo G. (2022). A regularized-entropy estimator to enhance cluster interpretability in Bayesian nonparametric. Book of Short Papers - SIS 2022, 387-398. [link] [pdf]
- Fasano, A. and Rebaudo, G. (2021). Variational inference for the smoothing distribution in dynamic probit models. Book of Short Papers - SIS 2021, 1076-1081. [link] [arXiv] [GitHub]