Abstract
Poisson processes in Lesson 4 are examples of continuous-time stochastic processes (with discrete state spaces) having the Markov property in the continuous-time setting. In this Lesson, we discuss the probabilistic structure and some computational aspects of such processes with emphasis on Birth and Death chains.
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© 1996 Springer Science+Business Media Dordrecht
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Bosq, D., Nguyen, H.T. (1996). Continuous — Time Markov Chains. In: A Course in Stochastic Processes. Theory and Decision Library, vol 34. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8769-3_5
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DOI: https://doi.org/10.1007/978-94-015-8769-3_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4713-7
Online ISBN: 978-94-015-8769-3
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