Antonio Canale

According to our database, Antonio Canale authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Bayesian Adaptive Tucker Decompositions for Tensor Factorization.

Federica Stolf, Antonio Canale

J. Comput. Graph. Stat., 2026

2025

A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries.

Alice Giampino, Antonio Canale, Bernardo Nipoti

Stat. Comput., October, 2025

2024

Accelerated Structured Matrix Factorization.

Lorenzo Schiavon, Bernardo Nipoti, Antonio Canale

J. Comput. Graph. Stat., 2024

2023

Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering.

Noirrit Kiran Chandra, Antonio Canale, David B. Dunson

J. Mach. Learn. Res., 2023

Efficient Posterior Sampling for Bayesian Poisson Regression.

Laura D'angelo, Antonio Canale

J. Comput. Graph. Stat., 2023

Locally Sparse Function-on-Function Regression.

Mauro Bernardi, Antonio Canale, Marco Stefanucci

J. Comput. Graph. Stat., 2023

2022

Importance conditional sampling for Pitman-Yor mixtures.

Antonio Canale, Riccardo Corradin, Bernardo Nipoti

Stat. Comput., 2022

2021

Multiscale stick-breaking mixture models.

Marco Stefanucci, Antonio Canale

Stat. Comput., 2021

BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures.

Riccardo Corradin, Antonio Canale, Bernardo Nipoti

J. Stat. Softw., 2021

A Bayesian goodness-of-fit test for regression.

Andrés F. Barrientos, Antonio Canale

Comput. Stat. Data Anal., 2021

2019

Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints.

Jacopo Rossini, Antonio Canale

J. Multivar. Anal., 2019

Model-based approach for household clustering with mixed scale variables.

Christian Carmona, Luis E. Nieto-Barajas, Antonio Canale

Adv. Data Anal. Classif., 2019

2016

Bayesian nonparametric forecasting for INAR models.

Luisa Bisaglia, Antonio Canale

Comput. Stat. Data Anal., 2016

Scalable geometric density estimation.

Ye Wang, Antonio Canale, David B. Dunson

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016