Question: Consider the problem of applying EM to parameter estimation for a variable X whose local probabilistic model is a tree - CPD . We assume

Consider the problem of applying EM to parameter estimation for a variable X whose local probabilistic model is a tree-CPD. We assume that the network structure G includes the structure of the tree-CPDs in it, so that we have a structure T for X. We are given a data set D with some missing values, and we want to run EM to estimate the parameters of T . Explain how we can adapt the EM algorithm in order to accomplish this task. Describe what expected sucient statistics are computed in the E-step, and how parameters are updated in the M-step.

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