Graphical models are a powerful framework used in statistics, machine learning, and artificial intelligence to represent complex distributions and relationships among a set of random variables. They combine graph theory with probability theory, allowing for a visual representation of the dependencies among variables. ### Key Concepts: 1. **Graph Structure**: - Graphical models are represented as graphs, where nodes represent random variables, and edges represent probabilistic dependencies between them.
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