This article presents a statistical model of agricultural yield data based on a set of hierarchical Bayesian models that allows joint modeling of temporal and spatial autocorrelation. This method captures a comprehensive range of the various uncertainties involved in predicting crop insurance...

The purpose of this paper is to evaluate production risks faced by fed cattle producers. We do this by jointly modeling a group of cattle production yield risk factors using a multivariate dynamic regression model. The proposed econometric model estimates parameters that influence the mean and...

This article presents a statistical model of agricultural yield data based on a set of hierarchical Bayesian models that allows joint modeling of temporal and spatial autocorrelation. This method captures a comprehensive range of the various uncertainties involved in predicting crop insurance...