E-Bayesian Estimation of Hierarchical Poisson-Gamma Model on the Basis of Restricted and Unrestricted Parameter Spaces
In this study, we use the idea of the hierarchical model (HM) to estimate an unknown parameter of the hierarchical Poisson-Gamma model using the E-Bayesian (E-B) theory. We propose the idea of hierarchical probability function instead of the traditional hierarchical prior density function. We aim to...
Saved in:
| Main Authors: | Azeem Iqbal, Laila A. Al-Essa, Muhammad Yousaf Shad, Fuad S. Alduais, Mansour F. Yassen, Muhammad Ahmad Raza |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2023/8767200 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian adaptation in Poisson cognitive systems
by: Aleksander A. Solodov
Published: (2019-09-01) -
Bayesian Hurdle Poisson Regression for Assumption Violation
by: Nur Kamilah Sa'diyah, et al.
Published: (2022-10-01) -
Simulation Study of Bayesian Zero Inflated Poisson Regression
by: Candra Rezzing Weni Utomo, et al.
Published: (2025-03-01) -
A Poisson-Gamma Model for Zero Inflated Rainfall Data
by: Nelson Christopher Dzupire, et al.
Published: (2018-01-01) -
Daily meal frequency and its associated factors among children aged 6–23 months in Ethiopia: a Bayesian hierarchical Poisson model
by: Dejen Kahsay Asgedom, et al.
Published: (2025-07-01)