Conditional Probability as a Fully-connected Probability Model
Markov condition
\[p(x_{i}|\Omega \backslash \mathbf{de}(x_{i})) = p(x_{i}|\mathbf{pa}(x_{i}))\]provides prior belief about “relevancy” between events.
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