In a parameter-homogeneous Markov chain {X(t)} with state space S, define p ij (t) as the probability that X(t + s) = j, given that X(s) = i for s, t ≥ 0. Then, for all states i, j and index parameters s, t ≥ 0,
are the Chapman-Kolmogorov equations. There is a comparable definition when the state space is instead continuous. See Markov chains; Markov processes.
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© 2001 Kluwer Academic Publishers
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Gass, S.I., Harris, C.M. (2001). Chapman-kolmogorov equations . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_109
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DOI: https://doi.org/10.1007/1-4020-0611-X_109
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