Abstract
In Part II it will be convenient to begin with the analysis of a denumerable set of real valued functions, later (in §4) to be identified as the transition probability functions of a continuous parameter Markov chain. Although the questions treated in the next three sections are of a purely analytic nature some of the methods used will be probabilistically inspired. Occasionally the results are given in a more general form than is required by later applications.
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© 1967 Springer-Verlag, Berlin • Heidelberg
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Chung, K.L. (1967). Continuous parameter. In: Markov Chains. Grundlehren der mathematischen Wissenschaften, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-62015-7_2
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DOI: https://doi.org/10.1007/978-3-642-62015-7_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62017-1
Online ISBN: 978-3-642-62015-7
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