6 papers · 1 filter
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 Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
Alice Giampino, Antonio Canale, Bernardo Nipoti
Several approaches have been proposed in the literature for clustering multivariate ordinal data. These methods typically treat missing values as absent information, rather than re…