Scalable geometric density estimation. - Ye Wang; Antonio Canale; David B. Dunson (AISTATS, 2016)

Bayesian nonparametric forecasting for INAR models. - Luisa Bisaglia; Antonio Canale (Comput. Stat. Data Anal., 2016)

Model-based approach for household clustering with mixed scale variables. - Christian Carmona; Luis E. Nieto-Barajas; Antonio Canale (Adv. Data Anal. Classif., 2019)

Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints. - Jacopo Rossini; Antonio Canale (J. Multivar. Anal., 2019)

A Bayesian goodness-of-fit test for regression. - Andrés F. Barrientos; Antonio Canale (Comput. Stat. Data Anal., 2021)

BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures. - Riccardo Corradin; Antonio Canale; Bernardo Nipoti (J. Stat. Softw., 2021)

Multiscale stick-breaking mixture models. - Marco Stefanucci; Antonio Canale (Stat. Comput., 2021)

Importance conditional sampling for Pitman-Yor mixtures. - Antonio Canale; Riccardo Corradin; Bernardo Nipoti (Stat. Comput., 2022)

Locally Sparse Function-on-Function Regression. - Mauro Bernardi; Antonio Canale; Marco Stefanucci (J. Comput. Graph. Stat., 2023)

Efficient Posterior Sampling for Bayesian Poisson Regression. - Laura D'angelo; Antonio Canale (J. Comput. Graph. Stat., 2023)

Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering. - Noirrit Kiran Chandra; Antonio Canale; David B. Dunson (J. Mach. Learn. Res., 2023)

Accelerated Structured Matrix Factorization. - Lorenzo Schiavon; Bernardo Nipoti; Antonio Canale (J. Comput. Graph. Stat., 2024)

A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries. - Alice Giampino; Antonio Canale; Bernardo Nipoti (Stat. Comput., 2025)