So sánh phương pháp

	Mô hình Durbin không gian Bayes	Mô hình Durbin Không gian (Spatial Durbin Model - SDM)
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	2009	2009
Người khởi xướng	LeSage & Pace	LeSage & Pace
Loại	Bayesian spatial regression	Spatial regression model
Công trình gốc	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press.
Tên gọi khác	Bayesian SDM, Bayesian spatial lag-X model, Bayesian SDM with spatially lagged covariates, BSDM	SDM, spatial mixed model, uzamsal durbin modeli
Liên quan	6	5
Tóm tắt	The 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.