When Gaussian errors are inappropriate in a multivariate linear regression setting, it is often assumed that the errors are iid from a distribution that is a scale mixture of multivariate normals.

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In many contexts involving multivariate linear regression models, some or all of the independent (predictor) variables are measured with error. It is argued that if ...