Has anyone done Bayesian believe networks in AgenaRisk? As far as I understand this is used in reliability and helps troubleshooting issues. It starts with mapping out the connections and probabilities for components that affect a product in nodes, then established connections between all the nodes (components) that are related. Engineers can answer a simple question for a node e.g. is this working or broken, and then the probabilities for other nodes are recalculated using a Bayesian approximation to show what the probabilities are that other parts are now going to pass or fail.
The reliability block diagrams look like maybe they do part of this? The interface for Agena looks more like a SEM diagram. However, the calculations and modeling in SEM is data heavy and confirmatory, whereas the BBNs are generative and can be used forward and backwards, and with very little (to no) data.
Has anyone experience with Agena, know if we do something like that in JMP, or if it would make sense to propose to do something like that in JMP if we are not?
