Jump to content

Iterated conditional modes

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Helpful Pixie Bot (talk | contribs) at 00:10, 12 March 2012 (Fixed header Reference => References (Build J2)). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

In statistics, iterated conditional modes is a deterministic algorithm for obtaining the configuration that maximizes the joint probability of a Markov random field. It does this by iteratively maximizing the probability of each variable conditioned on the rest.

See also

References

  • Besag, J. E. (1986), "On the Statistical Analysis of Dirty Pictures", Journal of the Royal Statistical Society, Series B, 48 (3): 259โ€“302. JSTOR 2345426