Statistics
graphical-models
Statistical models that represent variables and their conditional dependencies using a graph.
Expanded definition
Graphical models utilize graph theory to represent relationships among random variables. These models can be either directed or undirected and are used to facilitate the understanding of complex dependencies in multivariate data. Examples include Bayesian networks and Markov random fields, which are widely applied in machine learning and statistics.
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