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We are interested in the estimation and prediction of a parametric model on a short dataset upon which it is expected to overfit and perform badly. To overcome the lack of data (relatively to the dimension of the model), we propose the construction of an informative hierarchical Bayesian prior based on another longer dataset which is assumed to share some similarities with the original, short dataset...