Applications of Bayesian quantile regression models
Resumo: In this talk, we will give a brief review of the assumptions of Bayesian quantile regression models. Moreover we will show how these models can be used to fit proportion data. We compare our conclusions with the ones obtained with a beta regression in an application about access to electricity. Later, we will discuss how these models can help us analyze the results of the last presidential elections in Brazil.
Local : Sala 105 do PAF I.