Welcome to Bayesian Graphical Models! These powerful tools combine the structure of graphical models with the uncertainty handling of Bayesian statistics. In a graphical model, nodes represent random variables and edges show direct probabilistic dependencies. This creates an intuitive visual representation of complex relationships.