Welcome to my personal web page!
I am a Postdoctoral researcher in Statistics at the Department of Statistics and Data Science at University of Texas at Austin (Austin, USA), under the mentorship of Peter Müller and Abhra Sarkar. I am also member of the Bayes Lab at the Bocconi Institute for Data Science and Analytics (BIDSA) and of the Complex Data Modeling Research Network led by MiDas.
I am interested in Bayesian modelling of complex data structures. More specifically I have been working on:
Bayesian nonparametrics: discrete random probabilities, mixture models, random partitions and probabilistic clustering.
Computational statistics: Monte Carlo, Markov chain Monte Carlo, sequential Monte Carlo methods and variational inference.
Dynamic regression: hidden Markov models for binary time series.
Applications: auditory neuroscience, genomics and proteomics.
e-mail: rebaudo.giovanni @ gmail.com
- Invited talk at ISBA 2022 (Montreal, Jun 2022)
- Invited talk at CMStatistics–ERCIM 2021 (London, Dec 2021)
- Invited talk at BIRS-CMO Workshop (Oaxaca, Nov 2021)
- Fasano, A., Rebaudo, G., Durante D., and Petrone S. (2021). A closed-form filter for binary time series has been accepted for publication in Statistics and Computing.