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Bejzovski prostorni Durbinov model×Prostorni Durbin model (SDM)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka20092009
TvoracLeSage & PaceLeSage & Pace
TipBayesian spatial regressionSpatial regression model
Temeljni izvorLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗
Drugi naziviBayesian SDM, Bayesian spatial lag-X model, Bayesian SDM with spatially lagged covariates, BSDMSDM, spatial mixed model, uzamsal durbin modeli
Srodne65
SažetakThe Bayesian Spatial Durbin Model (BSDM) estimates a spatial regression that simultaneously includes a spatially lagged outcome variable and spatially lagged covariates, using Bayesian inference with Markov Chain Monte Carlo sampling. It captures both endogenous and exogenous spatial spillovers while providing full posterior distributions for all parameters, quantifying uncertainty beyond what classical maximum-likelihood estimation offers.The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases.
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ScholarGateUporedite metode: Bayesian Spatial Durbin Model · Spatial Durbin Model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare