Forecasting Agricultural Commodity Prices Using Multivariate Bayesian Machine Learning Regression

The purpose of this paper is to perform multiple predictions for agricultural commodity prices
(one, two and three month periods ahead). In order to obtain multiple-time-ahead predictions,
this paper applies the Multivariate Relevance Vector Machine (MV