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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Model i Vonesës Hapësinore Bajeziane×Regresioni Gjeografikisht i Peshuar (GWR)×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës19972002
KrijuesiLeSage (1997); fully elaborated in LeSage & Pace (2009)Fotheringham, Brunsdon & Charlton
LlojiBayesian spatial regressionLocal spatial regression
Burimi themeluesLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Emërtime të tjeraBayesian SAR model, Bayesian spatial autoregressive model, BSLM, Bayesian SLMGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Të lidhura55
PërmbledhjaThe Bayesian Spatial Lag Model (BSLM) extends the classical spatial autoregressive (SAR) regression by placing prior distributions over all parameters and recovering full posterior distributions via MCMC sampling. It explicitly accounts for spatial dependence — the outcome in one location is partly driven by outcomes in neighboring locations — and yields uncertainty-quantified estimates of both regression coefficients and the spatial autocorrelation parameter rho.Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.
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ScholarGateKrahasoni metodat: Bayesian Spatial Lag Model · Geographically Weighted Regression. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare