Robust Bayesian model averaging for linear regression models with heavy-tailed errors
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Our goal is to develop a Bayesian model averaging technique in linear regression models that accommodates heavier tailed error densities than the normal distribution. Motivated by the use of the Huber loss function in the presence of outliers, the Bayesian Hub... ...
