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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Veröffentlicht in:	Bayesian analysis 2023-01, Vol.1 (1), p.1-36
Hauptverfasser:	Liu, Yang, Goudie, Robert J B
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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