Bayesian inference for an asymmetric extension of the Grubbs model

Authors

Keywords:

Grubbs’s model, Skew-normal distribution, Gibbs sampling

Abstract

The Grubbs’s model is used to compare several instruments, and it is common to
assume that the random terms follow a normal distribution. We study some aspects of Bayesian
inference for the Grubbs’s model, where the unobserved value of the latent variable follows an asymmetric normal distribution. Estimates it a posteriori of the parameters under are calculated by Gibbs sampling algorithm . The results and methods developed in this work are illustrated by one data set .

Published

22-01-2015

How to Cite

Silva, F. R. da, & Montenegro, L. C. C. (2015). Bayesian inference for an asymmetric extension of the Grubbs model. Sigmae, 3(2), 39–46. Retrieved from https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/342