Pubblicazioni

Peer-reviewed articles

• 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., (2016), msBP: An R package to perform Bayesian nonparametric inference using multiscale Bernstein Polynomials mixtures, Journal of Statistical Software, accepted
• Canale, A., Pruenster, I., (2016), Robustifying Bayesian nonparametric mixtures for count data, Biometrics, in press, doi:10.1111/biom.12538
• Bandyopadhyay D., Canale, A., (2016), Nonparametric spatial ordinal models for clustered periodontal data, Journal of the Royal Statistical Society, Series C, 65, 619-640.
• Canale, A., Kenne Pagui, E. C, Scarpa, B., (2016), Bayesian modeling of university first-year students’ grades after placement test, Journal of Applied Statistics, 43, 3015-3029 (an early version of this paper can be found in this arXiv working paper.)
• Kenne Pagui, E. C., Canale, A., (2016), Pairwise likelihood inference for the analysis of multivariate categorical responses, Applied Stochastic Models in Business and Industry, 32, 273-282
• Canale, A., Dunson, D. B., (2016), Multiscale Bernstein polynomials for densities, Statistica Sinica, 26, 3, 1175-1195
• Bisaglia, L., Canale, A., (2016), Bayesian nonparametric forecasting for INAR models, Computational Statistics and Data Analysis, 100, 70-78
• Canale, A., Scarpa, B., (2016), Bayesian nonparametric location-scale-shape mixtures, Test, 25, 1, 113-130
• Canale, A., (2015), A note on regions of given probability for the extended skew-normal distribution, Communications in Statistics, 44, 2507-2516
• 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
• Canale, A., (2011), Statistical aspects in the extended skew-normal model, Metron, LXIX, 3, 279—295

Book chapters and journal special issues (with peer-review)

• Canale, A., Ruggiero, M., (2016), Bayesian nonparametric forecasting of monotonic functional time series, Electronic Journal of Statistics, 10, 3265-3286.
• Canale, A., Lijoi, A., Pruenster I., (2016) Bayesian Nonparametrics, In Wiley StatsRef: Statistics Reference Online , John Wiley and Sons, Ltd.
• Wang, Y., Canale, A., Dunson, D.B., (2016) Scalable geometric density estimation, In Artificial Intelligence and Statistics (AISTATS). Journal of Machine Learning Research – Workshop and Proceedings, 51, 857–865
• Canale, A., Scarpa, B., (2015), Age-specific probability of childbirth. Smoothing via Bayesian nonparametric mixture of rounded kernels, Statistica, 75, 101-110
• Canale, A., Lunardon, N., (2015), Churn prediction in telecommunications industry. A study based on Bagging classifiers, Statistica applicata – Italian Journal of Applied Statistics, 24, 3, 279-290
• Canale, A., Dunson, D. B., (2015), Bayesian multivariate mixed-scale density estimation, Statistics and Its Interface, 8, 2, 195-201.
• Bisaglia, L., Canale, A., (2012), Bayesian nonparametric predictions for count time series, Quaderni di Statistica, 14, 49-52