2 papers
stat.ME2026
Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias
In this work, we developed a new Bayesian method for variable selection in function-on-scalar regression (FOSR). Our method uses a hierarchical Bayesian structure and latent variab…
stat.ME2024
Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
Alvaro Alexander Burbano Moreno, Ronaldo Dias
This study presents a Bayesian hierarchical model for analyzing spatially correlated functional data and handling irregularly spaced observations. The model uses Bernstein polynomi…