Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework*

Geographically weighted regression (GWR) models handle geographical dependence through a spatially varying coefficient model and have been widely used in applied science, but its general Bayesian extension is unclear because it involves a weighted log-likelihood which does not imply a probability di...

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Detalles Bibliográficos
Autores principales: Liu, Yang, Goudie, Robert J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614111/
https://www.ncbi.nlm.nih.gov/pubmed/36714467
http://dx.doi.org/10.1214/22-BA1357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614111/
https://www.ncbi.nlm.nih.gov/pubmed/36714467
http://dx.doi.org/10.1214/22-BA1357

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