This lecture covers the Chow-Liu algorithm for approximate inference, using Cayley's formula to find the number of distinct trees, and generalizing to directed information graphs for optimal tree approximation.
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Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and
application will be balanced, with students working directly with network data th
