Professor of Statistics, University of Torino

Scientific Director, “de Castro” Statistics Initiative

Coordinator for Mathematics and Statistics, Allievi Honors Program, Collegio Carlo Alberto

Deputy Coordinator, M.Sc. in Stochastics and Data Science, University of Torino


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. (2021). Predictive inference with Fleming-Viot driven dependent Dirichlet processes. Bayesian Analysis, in press.
  • Kon Kam King, G., Canale, A. and Ruggiero, M. (2019). Bayesian functional forecasting with locally-autoregressive dependent processes. Bayesian Analysis 14, 1121-1141.
  • Costantini, C, De Blasi, P., Ethier, S.N., Ruggiero, M. and Spanò, D. (2017). Wright-Fisher construction of the two-parameter Poisson-Dirichlet diffusion. The Annals of Applied Probability 27, 1923-1950.