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Invited Talk 12 (saturday – 9h00)
Bayesian Analysis For The Hyperbolic Family Of Distribution.
Helio Migon (IM & COPPEUFRJ).

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.


 
 
email: isbra-bayes at ime.usp.br
Promotion and Support: 
ISBrA CAPES Pos-Graduacao CAPES-Proex
Pós–graduação em Estatística-USP
FAPESP CNPq CATEDRA INCTMat

 
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