Difference between revisions of "Markov chain"

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A '''Markov chain''', sometimes called a Markov process, is a sequence in which any state in the sequence depends only on the previous state, and is independent of all other states.  An example of a Markov process is the [[random walk problem]].
 
A '''Markov chain''', sometimes called a Markov process, is a sequence in which any state in the sequence depends only on the previous state, and is independent of all other states.  An example of a Markov process is the [[random walk problem]].
  
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[[category:Probability and Statistics]]
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[[Category:Probability and Statistics]]

Revision as of 15:45, July 13, 2016

A Markov chain, sometimes called a Markov process, is a sequence in which any state in the sequence depends only on the previous state, and is independent of all other states. An example of a Markov process is the random walk problem.