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Markov chains have many scientific applications.
Markov chains are used to model various processes in [[queuing theory]] and [[statistics]], and can also be used as a signal model in [[entropy coding]] techniques such as [[arithmetic coding]]. Markov chains also have many biological applications, particularly [[population process]]es, which are useful in modelling processes that are (at least) analogous to biological populations.
Markov processes can also be used to generate superficially "real-looking" text given a sample document: they are used in various pieces of recreational "parody generator" software (see [[Jeff Harrison]]).
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