Graphical model: Difference between revisions

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Added a correct example of a Bayesian network, and moved previous example to new 'cyclic graphs' section. Also added 'undirected graphs' section.
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{{machineMachine learning|Structured barprediction}}
{{More footnotes|date=May 2017}}
A '''graphical model''' or '''probabilistic graphical model''' ('''PGM''') or '''structured probabilistic model''' is a [[probabilistic model]] for which a [[Graph (discrete mathematics)|graph]] expresses the [[conditional dependence]] structure between [[random variable]]s. They are commonly used in [[probability theory]], [[statistics]]—particularly [[Bayesian statistics]]—and [[machine learning]].