BANJO: Software and algorithms for the efficient and flexible inference of Bayesian and dynamic Bayesian networks

Duke University is seeking a company interested in commercializing a novel and versatile software. BANJO is software for the efficient and flexible inference of Bayesian and dynamic Bayesian networks. The target of the Banjo tool is monitoring, modeling, or prediction tasks, especially in domains where a number of variables are interacting in such a way as to introduce statistical dependence, but it is not known where or how those interactions exist