Jeffrey wanted to handle the case where you somehow become 90% confident of X, instead of fully confident
How does this differ from a Bayesian update? You can update on a new probability distribution over X just as you can on a point value. In fact, if you’re updating the probabilities in a Bayesian network, like you described, then even if the evidence you are updating on is a point value for some initial variable in the graph, the propagation steps will in general be updates on the new probability distributions for parent variables.
How does this differ from a Bayesian update? You can update on a new probability distribution over X just as you can on a point value. In fact, if you’re updating the probabilities in a Bayesian network, like you described, then even if the evidence you are updating on is a point value for some initial variable in the graph, the propagation steps will in general be updates on the new probability distributions for parent variables.