পদ্ধতির তুলনা করুন

	Bayesian Spatial Error Model	Bayesian Spatial Durbin Model
ক্ষেত্র	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1988 (classical SEM); 2009 (Bayesian formulation)	2009
প্রবর্তক	LeSage & Pace (Bayesian treatment); Anselin (classical SEM)	LeSage & Pace
ধরন	Bayesian spatial regression	Bayesian spatial regression
মৌলিক উৎস	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
অপর নাম	Bayesian SEM, Bayesian spatial-error regression, BSEM spatial econometrics, Bayesian spatially correlated error model	Bayesian SDM, Bayesian spatial lag-X model, Bayesian SDM with spatially lagged covariates, BSDM
সম্পর্কিত	6	6
সারসংক্ষেপ	The Bayesian Spatial Error Model (Bayesian SEM) estimates a regression in which spatially correlated disturbances are explicitly modelled through a spatial weights matrix, while all parameters — regression coefficients, spatial error autocorrelation, and error variance — receive full posterior distributions via Bayesian inference rather than point estimates.	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.