Laplace priori versus Jeffreys priori: which one?
A priori de Laplace versus a priori de Jeffreys: ¿cuál?
Keywords:
Priori distributions, Bayesian analysis (en)Distribuciones a priori, análisis Bayesiano (es)
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Un proceso para seleccionar una distribución a priori no informativa hace que el usuario se enfrente a varias posibilidades y que él/ella piense que sólo bajo ciertas condiciones teóricas una de estas podría ser considerada mejor que las otras, pero en el problema presentado ésto se vuelve irrelevante. Ofrecemos tres ejemplos básicos que muestran que la elección es importante y depende de las distribuciones muestrales subyacentes, pero también, en los valores de los parámetros.
References
Berger, M.; Bernardo, A. Y. (1992), On the development of reference priors. Bayesian Statistics, 4, 35-60.
Gelman, A. (2009), Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics. Statistical Science, 24(2), 176-178.
Gill, J. (2002), Bayesian Methods- A social and Behavioral Sciences Approach. Chapman and Hall/CRC, U.S.A., 459 p.
Kass, R. E.; Wasserman, L. (1996), The Selection Prior Distributions by Formal Rules. Journal of the American Statistical Association, 91(435), 1343-1370.
Novick, M. R.; Hall, W. J. (1969), A bayesian indierence procedure. Journal of the American Statistical Association, 60(312), 1104-1117.
Tuyl, F.; Gerlach, R.; Mengersen, K. (2009), Posterior predictive arguments in favor of the Bayes-Laplace prior as the consensus prior for binomial and multinomial parameters. Bayesian Analysis, 4(1), 151-158.
Zhu, M.; Lu, A. Y. (2004), The Counter-intuitive Non-informative Prior for the Bernoulli Family. Journal of Statistics Education, 12(2), 1-10.
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