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Bayesian Measurement Error Models Using Finite Mixtures of Scale Mixtures of Skew-Normal Distributions by Cabral, C. R. B.; de Souza, N. L.; Leão, J. is a scholarly article available to read on EtoBox.

What is Bayesian Measurement Error Models Using Finite Mixtures of Scale Mixtures of Skew-Normal Distributions about?

We present a proposal to deal with the non-normality issue in the context of regression models with measurement errors when both the response and the explanatory variable are observed with error. We extend the normal model by jointly modeling the unobserved covariate and the random errors by a finite mixture of scale mixture of skew-normal distributions. This approach allows us to model data with great flexibility, accommodating skewness, heavy tails, and multi-modality.

Author

Cabral, C. R. B.; de Souza, N. L.; Leão, J.

Published

2020

Language

EN