Probabilistic graphical model

Probabilistic graphical models (PGMs) are a class of statistical models that represent and reason about complex systems using graphs where nodes represent random variables and edges represent probabilistic dependencies between them. They are widely used for tasks such as probabilistic reasoning, decision making, and pattern recognition in AI and machine learning.