Statistics Multivariate analysis Concept
Graphical model
Summary
A probabilistic graphical model is a family of joint distributions of random variables whose conditional independences are read off a graph. The vertices are the variables, and missing edges mean conditional independence. Directed acyclic graphs give Bayesian networks, and undirected graphs give Markov random fields. The graph makes large models easier to describe, to fit and to compute with.
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| Tag | Q3FQAD1BXG |
|---|---|
| URI | m2://Q3FQAD1BXG |
| Kind | concept |
| Writing | W0 stub |
| MSC | 62H22 |
| Same as |
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