Graphical model: Difference between revisions

Revision as of 22:50, 11 July 2005

Revision as of 22:54, 11 July 2005

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This type of graphical model is known as a directed graphical model, Bayesian network, or belief network.

There are also undirected graphical models, a.k.a.also called Markov networks, in which graph separation encodes conditional independencies (these are also known as Graphicalgraphical Gaussian models, or GGMs).

A recent application of graphical models is to describe [[gene regulatory network]]s.