The paper presents a spatio-temporal statistical model of agricultural yield prediction based on spatial mixtures of distributions. The proposed method combines several hierarchical and sequential Bayesian estimation procedures that allow the general problem to be addressed with a series of...

Consumer demand analysis attracts considerable attention. It remains an open question, however, whether estimating demand with aggregate data is reliable when disaggregate store-level data is given. Demand models may produce biased results when applied to data aggregated across stores with...

Recent studies and reports suggest that foreign aid/intervention has been somewhat futile in eradicating conflict. In this study, we develop a simultaneous donor/recipient model of foreign aid and terrorism. Thereafter, we extend our theoretical propositions through a machine learning algorithm...