Cautious Propagation in Bayesian Networks
  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. Cautious 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'.
