![]() ![]() ![]() For example, if the Markov process is in state A, then the probability it changes to state E is 0.4, while the probability it remains in state A is 0.6.Ī Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. Each number represents the probability of the Markov process changing from one state to another state, with the direction indicated by the arrow. A diagram representing a two-state Markov process, with the states labelled E and A.
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