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Invited Talk 12 (saturday – 9h00) Bayesian Analysis For The Hyperbolic Family Of Distribution. Helio Migon (IM & COPPE–UFRJ). Abstract: In this work we discuss inferential problems under the hyperbolic family of distributions. We propose a solution based in a reference Bayesian analysis. Some comparisons with methods of likelihood maximization are provided. In this case, the posterior estimates have a much better behavior. Finally, the results are applied to a real data problem, showing that the hyperbolic family seems to be a good alternative to Gaussian models. |