Some approximation results for Bayesian Posteriors that involve the Hurwitz-Lerch Zeta distribution
Consider the generalized Poisson and the negative binomial model with mean parameter equal to kb, where k >= 0 is a count parameter and 0 < b < 1 is a hyper parameter. We show that conditioning on counts from both models and assuming a uniform prior fork lead to the following Bayesian poste...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer Verlag
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/38521/ |
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