Bayesian Approximation to the Heteroscedasticity in Simple Regression

Juan Carlos Correa                              

 

 

Abstract

We implement a bayesian solution to the heteroscedasticity problem in simple regression. This solution can be easily generalized to the multiple regression case.

 

Key words: Heteroscedasticity, Regresión models, Bayesian statistics, Gibbs sampler.

 

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