1. Let B be a Bayesian network, and X a variable that is not a root of the network. Show that PB may not be the optimal proposal distribution for estimating PB(X = x).
2. In exercise we defined the edge reversal transformation, which reverses the directionality of an edge X → Y. How would you apply such a transformation in the context of likelihood weighting, and what would be the benefits?