8 citations · 8 across the 3 of their papers we have counts for
4 papers
Variational Inference for Variable Selection in Scalar-on-Function Regression
Ana Carolina da Cruz, Camila P. E. de Souza, Pedro H. T. O. Sousa
In practical regression applications, multiple covariates are often measured, but not all may be associated with the response variable. Identifying and including only the relevant…
Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors
Ana Carolina da Cruz, Camila P. E. de Souza, Pedro H. T. O. Sousa
Functional data analysis finds widespread application across various fields. While functional data are intrinsically infinite-dimensional, in practice, they are observed only at a…
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…
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation
Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias
Considering the context of functional data analysis, we developed and applied a new Bayesian approach via Gibbs sampler to select basis functions for a finite representation of fun…