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Other One-Parameter Models and Their Conjugate Priors
2012You encountered the Poisson distribution in problems at the end of the previous chapter. The Poisson distribution is useful when the random variable is a count of the number of rare events occurring per unit time, unit volume, unit distance, etc. For example, the number of new cases of rhabdomyosarcoma (a rare form of cancer) occurring in Johnson ...
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An Elicitation Procedure Using Piecewise Conjugate Priors
1992Although computationally convenient, conjugate priors can represent only a rather limited set of prior beliefs. By considering piecewise conjugate priors one can represent a much larger class of prior beliefs and retain much of the computational simplicity of conjugate priors.
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Bayesian inference for Maxwell distribution under conjugate prior
Model Assisted Statistics and Applications, 2013Sanku Dey+2 more
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The "Pathology" of the Natural Conjugate Prior Density in the Regression Model
Annales d'Économie et de Statistique, 1991openaire +1 more source