Abstract
In Chapter I (§12), for finite probability spaces, we took the basic idea to be that of Markov dependence between random variables. We also presented a variety of examples and considered the simplest regularities that are possessed by random variables that are connected by a Markov chain.
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© 1984 Springer Science+Business Media New York
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Shiryayev, A.N. (1984). Sequences of Random Variables That Form Markov Chains. In: Probability. Graduate Texts in Mathematics, vol 95. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-0018-0_9
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DOI: https://doi.org/10.1007/978-1-4899-0018-0_9
Publisher Name: Springer, New York, NY
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