I will talk about

I will talk about

- Franzolini, B., De Iorio, M., and Eriksson, J. (2023).
**Conditional partial exchangeability: a probabilistic framework for multi-view clustering.**arXiv:2307.01152 [**pdf**] [**code**]

- Ascolani, F., Franzolini, B., Lijoi, A., and Prünster, I. (2023+).
**Nonparametric priors with full-range borrowing of information.**Biometrika, forthcoming. [**pdf**] [**code**] - Franzolini, B. and Rebaudo, G. (2023).
**Entropy regularization in probabilistic clustering.**Statistical Methods & Applications. DOI:10.1007/s10260-023-00716-y [**pdf**] [**code**] - Franzolini, B., Beskos, A., De Iorio, M., Poklewski Koziell, W., and Grzeszkiewicz, K. (2024).
**Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market.**The Annals of Applied Statistics, 18(1), 555-584. DOI:10.1214/23-AOAS1801 [**pdf**] [**code**] - Franzolini, B., Cremaschi, A., van den Boom, W., and De Iorio, M. (2023).
**Bayesian clustering of multiple zero-inflated outcomes.**Philosophical Transactions of the Royal Society A, 381(2247): 20220145. DOI:10.1098/rsta.2022.0145 [**pdf**] [**code**] - Franzolini, B., Lijoi, A., and Prünster, I. (2023).
**Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes.**The Annals of Applied Statistics 17(1): 313-332. DOI:10.1214/22-AOAS1628 [**pdf**] [**code**]

- Franzolini, B., Bondi, L., Fasano, A., and Rebaudo, G. (2023).
**Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict.**In Book of Short Papers CLADAG 2023, 465-468. (Editors: Corretto, P., Giordano G., La Rocca, M., Parrella, M. L., Rampichini, C.) ISBN 9788891935632 [book] [**pdf**] - Fasano, A., Anceschi, N., Franzolini, B., and Rebaudo, G. (2023).
**Efficient computation of predictive probabilities in probit models via expectation propagation.**In Book of Short Papers CLADAG 2023, 449-452. (Editors: Corretto, P., Giordano G., La Rocca, M., Parrella, M. L., Rampichini, C.) ISBN 9788891935632 [book] [**pdf**] [**code**] - Fasano, A., Anceschi, N., Franzolini, B., and Rebaudo, G. (2023).
**Efficient expectation propagation for posterior approximation in high-dimensional probit models.**In Book of Short Papers SIS 2023, 1133-1138. (Editors: Chelli, F. M., Ciommi, M., Mariani, F., Recchioni, M. C.) ISBN 9788891935618 [book] [**pdf**] [**code**] - 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(1): 287-366. DOI: 10.1214/22-BA1309 [**pdf**] - Franzolini, B. and Rebaudo, G. (2022).
**A regularized-entropy estimator to enhance cluster interpretability in Bayesian nonparametrics.**In Book of Short Papers SIS 2022, 387-397. (Editors: Balzanella, A., Bini, M., Cavicchia, C. and Verde, R.) ISBN 9788891932310 [book] [**pdf**] - Ascolani, F., Franzolini, B., Lijoi, A., and Prünster, I. (2021).
**On the dependence structure in Bayesian nonparametric priors.**In Book of Short Papers SIS 2021, 1219-1225. (Editors: Perna, C., Salvati, N. and Schirripa Spagnolo, F.) ISBN 9788891927361 [book-part1] [book-part2] [**pdf**]

- Franzolini, B. (Advisors: Lijoi, A., and Prünster, I.), Feb 2022.
**On Dependent Processes in Bayesian Nonparametrics: Theory, Methods, and Applications.**Bocconi University [**pdf - high quality**] [**pdf - compressed**]

- a preliminary version can be found in Chapter 5 of the [

Statistica

Financial Econometrics and Empirical Finance

Statistica

Financial Econometrics and Empirical Finance

Statistics

Statistica

Financial Econometrics and Empirical Finance

Metodi Quantitativi per la Finanza

I am a **Researcher (Italian RTD-A)** at
Bocconi University, Italy.

My research interests are in **Bayesian Nonparametrics**, **Probabilistic Machine Learning**, **Applied Bayesian Modelling** and **Computational Statistics** with a focus on

clustering and random partition models,

change-point detection and dynamic models,

biostatistics and financial econometrics applications.

I am the Chair of the Junior Section of ISBA (j-ISBA) .

Until July 2023, I was a Research Fellow at
the Agency for Science, Technology and Research (A*STAR) and
member of the Division of Biomedical Data Science (BiDS), led by
Prof. Maria De Iorio,
at the National University of Singapore (NUS), in Singapore.
Until January 2022, I was a PhD student in Statistics at
Bocconi University, Italy,
under the supervision of Prof. Antonio Lijoi and Prof.
Igor Prünster.

A full pdf version of my ** CV ** is available here.