Randomization of intensities in a Markov chain
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The matrix of intensities of a Markov process with discrete state space and continuous time parameter undergoes random changes in time in such a way that it stays constant between random instants. The resulting non-Markovian process is analyzed with the help of supplementary process defined in terms of variations of the intensity matrix. Several examples are presented.
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2011 ◽
Vol 39
(10)
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pp. 1031-1044
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1974 ◽
Vol 11
(04)
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pp. 669-677
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2015 ◽
Vol 12
(107)
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pp. 20150225
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1972 ◽
Vol 4
(02)
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pp. 258-270
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1968 ◽
Vol 10
(3)
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pp. 236-251
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