Linganisha mbinu

	Aina ya Bayesian Spatial Durbin Model	Mchoro wa Kanga wa Kijiografia (SDM)
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	2009	2009
Mwanzilishi	LeSage & Pace	LeSage & Pace
Aina	Bayesian spatial regression	Spatial regression model
Chanzo asilia	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.
Majina mbadala	Bayesian SDM, Bayesian spatial lag-X model, Bayesian SDM with spatially lagged covariates, BSDM	SDM, spatial mixed model, uzamsal durbin modeli
Zinazohusiana	6	5
Muhtasari	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.