7 papers
Degrees of Freedom in Penalized Regression: Model Selection with Adaptive Penalties
Mauro Bernardi, Antonio Canale, Marco Stefanucci
Model selection in penalized regression critically depends on an accurate assessment of model complexity, commonly quantified through the effective degrees of freedom. While the La…
Bayesian local clustering of functional data via semi-Markovian random partitions
Giovanni Toto, Antonio Canale
We introduce a Bayesian framework for indirect local clustering of functional data, leveraging B-spline basis expansions and a novel dependent random partition model. By exploiting…
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
Dafne Zorzetto, Antonio Canale, Fabrizia Mealli +2
Principal stratification provides a causal inference framework for investigating treatment effects in the presence of a post-treatment variable. Principal strata play a key role in…
Adaptive partition Factor Analysis
Elena Bortolato, Antonio Canale
Factor Analysis has traditionally been utilized across diverse disciplines to extrapolate latent traits that influence the behavior of multivariate observed variables. Historically…
On the Posterior Computation Under the Dirichlet-Laplace Prior
Paolo Onorati, David B. Dunson, Antonio Canale
Modern applications routinely collect high-dimensional data, leading to statistical models having more parameters than there are samples available. A common solution is to impose s…
A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains
Paolo Onorati, Antonio Canale
Environmental phenomena are influenced by complex interactions among various factors. For instance, the amount of rainfall measured at different stations within a given area is sha…