Antonio Canale

Current position

Research Interests

Bayesian Nonparametrics

Models, theory and computational aspects.

Functional data analysis

Bayesian and frequentist FDA: prediction, clustering, 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

Business, biology and life sciences, energy markets.

Data mining and machine learning

Big data and scalable algorithms, classification techniques.

Editorial duties

Associate Editor for Journal of the Royal Statistical Society, Series C (Applied Statistics) (2019-2022)
Associate Editor for Computational Statistics and Data Analysis} (2018-)

Publications

Selected publications (full list here)

    Software


    Curriculum Vitae

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