Markov Chains

Markov Chains PowerPoint PPT Presentation


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Let {X(t)}t>0 be a continuous-time stochastic process with discrete state space S.. Then {X(t)}t>0 is said to be a continuous-time Markov chain if. for any. and any. (Whenever these conditional probabilities exist.). An important example of a CTMC:. For any and any.

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Markov Chains

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