THE UNINFORMATIVE PRIOR OF JEFFREYS’ DISTRIBUTION IN BAYESIAN GEOGRAPHICALLY WEIGHTED REGRESSION
When using the Bayesian method for estimating parameters in a geographically weighted regression model, the choice of the prior distribution directly impacts the posterior distribution. The distribution known as the Jeffreys prior is an uninformative type of prior distribution and is invariant to...
Saved in:
| Main Authors: | Fachri Faisal, Henny Pramoedyo, Suci Astutik, Achmad Efendi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2024-05-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12155 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interpreting Covid-19 Tests and the Uncertainty by Bayesian Methodology
by: Tomáš Karel
Published: (2025-06-01) -
Bayesian Inference for the Beta-Weibull Distribution with Applications to Cancer and Under-nutrition Data
by: Fekade Getabil Habtewold, et al.
Published: (2025-04-01) -
Investigation of scale parameter for the Weibull-Chen distribution
by: Mohamed Mubarak, et al.
Published: (2025-05-01) -
Bayesian Inference General Procedures for A Single-subject Test study
by: Jie Li, et al.
Published: (2025-06-01) -
Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation
by: Matteo Giordano
Published: (2025-04-01)