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, psychology, biology and life sciences.
Probabilistic AI, machine learning
Big data and scalable algorithms, embedding
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.