collaborators

1 paper

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…