Cautious Propagation in Bayesian Networks

摘要

Consider the situation where some evidence e has been entered to a Bayesian network. When performing conflict analysis, sensitivity analysis, or when answering questions like "What if the finding on X had been y instead of x?", you need probabilities P(e' | h) where e' is a subset of e, and h is a configuration of a (possibly empty) set of variables.rnCautious propagation is a modification of HUGIN propagation into a Shafer-Shenoy-like architecture. It is less efficient than HUGIN propagation; however, it provides easy access to P(e' | h) for a great deal of relevant subsets e'.