Markov random field
Topic of Graphical models, part of Statistical learning
Markov random field
| Type | Topic |
| Taught in | Graphical models |
| Part | Statistical learning |
Another name for an undirected graphical model: random variables whose joint law satisfies the Markov properties of a graph, so that a missing edge means conditional independence given the rest.
In Graphical models
From Graphical models
Undirected graphical models are also known as Markov random fields. A probability measure on X may have any of the following properties with respect to a graph G.
Used in
See also
Random variable · Markov property · Conditional independence · Undirected graph · Hammersley–Clifford · A zero precision entry is conditional independence · Maximum likelihood for a known graph · Graphical lasso