4 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…
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…
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…
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…