Iterated conditional modes

In statistics, iterated conditional modes is a deterministic algorithm for obtaining a configuration of a local maximum of 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

  • {{Citation

| last=Besag | first = J. E. |authorlink=Julian Besag

| year=1986

| title=On the Statistical Analysis of Dirty Pictures

| journal=Journal of the Royal Statistical Society, Series B

| volume=48 |issue=3 | pages=259–302

| doi = 10.1111/j.2517-6161.1986.tb01412.x | jstor=2345426

}}

Category:Optimization algorithms and methods

Category:Computational statistics

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