1 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
Locally Sparse Function on function Regression
Mauro Bernardi, Antonio Canale, Marco Stefanucci
In functional data analysis, functional linear regression has attracted significant attention recently. Herein, we consider the case where both the response and covariates are func…
Bayesian non-asymptotic extreme value models for environmental data
Enrico Zorzetto, Antonio Canale, Marco Marani
Motivated by the analysis of extreme rainfall data, we introduce a general Bayesian hierarchical model for estimating the probability distribution of extreme values of intermittent…
Multiscale stick-breaking mixture models
Marco Stefanucci, Antonio Canale
We introduce a family of multiscale stick-breaking mixture models for Bayesian nonparametric density estimation. The Bayesian nonparametric literature is dominated by single scale…
Simultaneous Transformation and Rounding (STAR) Models for Integer-Valued Data
Daniel R. Kowal, Antonio Canale
We propose a simple yet powerful framework for modeling integer-valued data, such as counts, scores, and rounded data. The data-generating process is defined by Simultaneously Tran…
Pairwise likelihood inference for the multivariate ordered probit model
Martina Bravo, Antonio Canale
This paper provides a closed form expression for the pairwise score vector for the multivariate ordered probit model. This result has several implications in likelihood-based infer…