Question: A Bayesian network is a minimal I-map for a distribution if removing any edges from the network will cause it to no longer be an

A Bayesian network is a minimal I-map for a distribution if removing any edges from the network will cause it to no longer be an I-map for the distribution. Consider the Bayesian network given above. Construct a new Bayesian network over all of the nodes except node D that is a minimal Imap for the marginal distribution over the remaining variables (A, B, C, E, F, G) for any probability distribution that factorizes over the given Bayesian network. Be sure that your model contains all of the dependencies from the original network.

Problem 3: Marginal Bayes Nets (15 pts) 0 9.0 a A Bayesian network is a minimal I-map for a distribution if removing any edges from the network will cause it to no longer be an I-map for the distribution. Consider the Bayesian network given above. Construct a new Bayesian network over all of the nodes except node D that is a minimal 1- map for the marginal distribution over the remaining variables (A, B, C, E, F, G) for any probability distribution that factorizes over the given Bayesian network. Be sure that your model centains all of the dependencies from the original network

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