Bayesian Nonparametrics
Models, theory, and computational aspects.
Antonio Canale
Current position
Associate professor of Statistics,
Research Interests
Functional data analysis
Bayesian and frequentist FDA: clustering, functional regression, sparse representations.
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 and hydrology, business and industry, biology and life sciences.
Machine learning, probabilistic AI
Big data and scalable algorithms, classification techniques.
Associate Editor
Publications
Selected publications (full list here)
- Bortolato, E., Canale, A., (2026) Adaptive Partition Factor Analysis, Journal of the American Statistical Association, in press
- Stolf, F., Canale, A., (2025) Bayesian Adaptive Tucker Decompositions for Tensor Factorization, Journal of Computational and Graphical Statistics, in press
- Schiavon, L. Nipoti, B., Canale, A., (2024) Accelerated structured matrix factorization, Journal of Computational and Graphical Statistics, 33, 917-927
- Zorzetto, D., Bargagli-Stoffi, F., Canale, A., Dominici, F. (2024) Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology, Biometrics, 80, 2
- Chandra, N.K., Canale, A., Dunson, D.B. (2023) Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering, Journal of Machine Learning Research, 24, 144, 1−42
- D'Angelo, L., Canale, A., (2023) Efficient posterior sampling for Bayesian Poisson regression , Journal of Computational and Graphical Statistics, 32, 3 (A corrigendum is also available)
- Schiavon, L., Canale, A., Dunson, D. (2022) Generalized infinite factorization models, Biometrika, 109, 3, 817–835
- Stefanucci, M., Canale, A., (2021), Multiscale stick-breaking mixture models, Statistics and Computing, 31, 13
- Kowal, D. R., Canale, A., (2020), Simultaneous transformation and rounding (STAR) models for integer-valued data, Electronic Journal of Statistics, 14, 1744-1772
- Canale, A., Durante, D., Dunson, D. (2018), Convex Mixture Regression for Quantitative Risk Assessment, Biometrics, 74, 1331-1340
- Canale, A., Lijoi, A., Nipoti, B., Pruenster, I., (2017), On the Pitman-Yor process with spike and slab base measure, Biometrika, 104, 681–697
- Canale, A., Pruenster, I., (2017), Robustifying Bayesian nonparametric mixtures for count data, Biometrics, 73, 174-184
- Canale, A., Dunson, D. B., (2013), Nonparametric Bayes modelling of count processes, Biometrika, 100, 4, 801—816
- Canale, A., Dunson, D. B., (2011), Bayesian Kernel Mixtures for Counts, Journal of American Statistical Association, 106, 1528–1539
Preprints
Papers on arXivSoftware
- Bernardi, M., Stefanucci, M., Canale, A., (2023), fdaSP: Sparse Functional Data Analysis Methods, R package.
- Corradin, R., Canale, A., Nipoti, B. (2021), BNPmix: Bayesian Nonparametric Mixture Models, R package.
- Canale, A., Durante, D., Falcioni, A., Galtarossa, L., Rigon, T (2020), CoMiRe: Convex Mixture Regression, R package.
- Canale, A., (2017), msBP: Multiscale Bernstein Polynomials for Densities, R package.
- Canale, A., (2016), rmp: Rounded Mixture Package, R package
- Kenne Pagui, E. C., Canale, A., (2014), Plordprob: Multivariate Ordered Probit Model via Pairwise Likelihood, R package.