Krahasoni metodat

	Modeli Hapësinor Panel Bayesian	Regresioni Hapësinor Bayesian
Fusha	Analiza hapësinore	Analiza hapësinore
Familja	Regression model	Regression model
Viti i origjinës	2009–2014	1990s–2000s
Krijuesi	LeSage & Pace; Elhorst	Banerjee, Carlin & Gelfand (foundational treatment); building on Besag (1974) for lattice priors
Lloji	Bayesian spatial panel regression	Bayesian hierarchical regression
Burimi themelues	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2015). Hierarchical Modeling and Analysis for Spatial Data (2nd ed.). CRC Press. ISBN: 978-1439819173
Emërtime të tjera	Bayesian spatial panel, Bayesian spatial econometrics panel, BSPM, Bayesian panel spatial regression	Bayesian hierarchical spatial model, BSR, Bayesian geostatistical regression, Bayesian spatial linear model
Të lidhura	5	3
Përmbledhja	The Bayesian Spatial Panel Model estimates spatial interaction effects (spatial lag, spatial error, or Durbin) in panel data using Bayesian inference via Markov Chain Monte Carlo (MCMC). It combines the ability to control for unobserved unit- and time-specific heterogeneity with principled uncertainty quantification, making it suitable for georeferenced longitudinal datasets in economics, public health, and regional science.	Bayesian Spatial Regression embeds a spatially structured random effect into a regression framework and estimates all parameters — including spatial range and variance — through posterior inference rather than point estimation. It handles spatial autocorrelation, quantifies full predictive uncertainty, and accommodates small or irregular spatial datasets via hierarchical priors.