Antonio Canale

Current position

Research Interests

Bayesian Nonparametrics

Models, theory, and computational aspects.

Functional data analysis

Bayesian and frequentist FDA: prediction, clustering, functional regression, and forecasting.

Models for discrete and count data

Nonparametric mixture models for counts, probit regressions.

Flexible distributions

Statistical aspects of the Skew-normal and skew-symmetric distributions.

Applications

Environmental sciences, business and industry, biology and life sciences.

Machine learning, probabilistic AI

Big data and scalable algorithms, classification techniques.

Associate Editor

  • ASA Discoveries
  • Econometrics and Statistics

  • Publications

    Selected publications (full list here)

      Preprints

      Papers on arXiv

        Software


        Curriculum Vitae