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Other One-Parameter Models and Their Conjugate Priors

2012
You 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

1992
Although 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, 2013
Sanku Dey   +2 more
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