Bayesian Spatial heteroscedastic autoregressive model

Abstract

the study investigates the impact of spatial heteroscedastic autoregressive model on parameter estimations by adopting white(1980) heteroscedastic covariance matrix Bayesian paradigm. Coordinate references of 94 cities in Nigeria were collected, the study obtained the minimum and maximum values and these were used to generate coordinate references for the entire simulated data using uniform distribution.