Bayesian Nonparametrics
Models, theory, and computational aspects.
Antonio Canale
Current position
Associate professor of Statistics,
Research Interests
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
Business, biology and life sciences, energy markets.
Data mining and machine learning
Big data and scalable algorithms, classification techniques.
Publications
Selected publications (full list here)
- Schiavon, L. Nipoti, B., Canale, A., (2024) Accelerated structured matrix factorization,, Journal of Computational and Graphical Statistics, in press
- 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
- Kowal, D., Canale, A. (2023) Semiparametric Functional Factor Models with Bayesian Rank Selection, Bayesian Analysis, 18, 1161-1189
- 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
- Bernardi, M., Canale, A., Stefanucci, M. (2023) Locally sparse function-on-function regression, Journal of Computational and Graphical Statistics, 32 , 3
- D'Angelo, L., Canale, A., (2023) Efficient posterior sampling for Bayesian Poisson regression , Journal of Computational and Graphical Statistics, 32, 3
- Canale, A., Corradin, R., Nipoti, B., (2022), Importance conditional sampling for Pitman–Yor mixtures, Statistics and Computing, 32, 40
- D'Angelo, L., Canale, A., Yu, Z., Guindani, M. (2022) Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data, Biometrics, in press, https://doi.org/10.1111/biom.13626
- 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., De Blasi, P., (2017), Posterior asymptotics of nonparametric location-scale mixtures for multivariate density estimation, Bernoulli, 23, 379-404
- Canale, A., Vantini, S., (2016), Constrained Functional Time Series: Applications to the Italian Gas Market, International Journal of Forecasting, 32, 1340-1351.
- 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.