Graphical model

A graphical model is a probabilistic model that uses a graph-based representation to encode the relationships between random variables. In these models, nodes typically represent random variables, while edges represent probabilistic dependencies or conditional independence between these variables. Graphical models are particularly useful in statistics, machine learning, and artificial intelligence for modeling complex systems with numerous interconnected variables.