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...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Published: |
Springer Verlag
2023
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/38521/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaya |