What is PMGM?

Probabilistic Graphical Models (PGMs) are a framework for representing probabilistic relationships among random variables. They use graphs to encode conditional dependencies between variables, enabling efficient computation and inference. Common types include Bayesian networks and Markov networks. PGMs are widely used in machine learning, statistics, and artificial intelligence for tasks such as classification, regression, and anomaly detection.