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We described an approach that fixes the upper level prior based on the data (hence Empirical Bayes) and cross-validation of a scale parameter. This fixed prior eliminates MCMC iterations, making it much faster than standard HB. The Empirical Bayes approach also avoids issues of inadequate convergence and improper scaling that may occur with MCMC.