Positions
Professor of Statistics, University of Torino
Scientific Director, “de Castro” Statistics Initiative
Coordinator for Mathematics and Statistics, Allievi Honors Program, Collegio Carlo Alberto
Coordinator, M.Sc. in Stochastics and Data Science, University of Torino
Education
PhD in Statistics, Bocconi University, 2007
Research Interests
Bayesian Nonparametric Statistics, Dependent Random Probability Measures, Infinite Dimensional diffusions, Measure-valued Processes, Interacting Particle Systems, Optimal Filtering, Applications to Economics and Biology
Selected Works
- Ascolani, F., Lijoi, A. and Ruggiero, M., Smoothing distributions for conditional Fleming-Viot and Dawson-Watanabe diffusions, Bernoulli, 2023.
- Kon Kam King, G., Papaspiliopoulos, O. and Ruggiero, M., Exact inference for a class of hidden Markov models on general state spaces, Electronic Journal of Statistics, 2021.
- Ascolani, F., Lijoi, A. and Ruggiero, M., Predictive inference with Fleming-Viot driven dependent Dirichlet processes, Bayesian Analysis, 2021.
