I am a PhD student in Statistics at the Department of Economics, Management and Statistics of University of Milano-Bicocca. I am also a research collaborator at the Università della Svizzera Italiana. My main interest lies in Bayesian statistics, particularly the methodological and computational aspects.
Publications
Preprints
- Danese L., Corradin R., Ongaro A. (2025+). BayesChange: an R package for Bayesian Change Point Analysis. [ArXiv]
Articles in referred journals
Corradin R., Danese L., Ongaro A., KhudaBukhsh W. R. (2026). Model-based clustering of time-dependent observations with common structural changes. Statistics and Computing. [Link] [ArXiv]
Corradin, R., Danese, L., Ongaro, A. (2022). Bayesian nonparametric change points detection for multivariate time series with missing observations. International Journal of Approximate Reasoning. [Link]
Discussions and conference proceedings
Danese L., Corradin R., Ongaro A. (2025). Change Points Detection in EU Inflation Rates. In: di Bella, E., Gioia, V., Lagazio, C., Zaccarin, S. (eds) Statistics for Innovation III. SIS 2025. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. [Link]
Corradin R., Danese L., KhudaBukhsha W., Ongaro A. (2023). Model-based clustering of nonstationary time series with common historical change times. Proceedings of 2023 Conference of the Italian Statistical Society.[Link]
Software
- BayesChange: Bayesian Methods for Change Points Analysis. Author and Mantainer, 2025.
Education
MSc in Statistics | Advisor: Andrea Ongaro and Riccardo Corradin | University of Milano-Bicocca (2018 – 2020)
BSc in Statistics | Advisor: Marco Fattore | University of Milano-Bicocca (2015 – 2018)
Awards
2025 - Best poster award - BNP14 (Los Angeles, USA)
2025 - Best poster award - SIS2025 (Genova, Italy)
