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1993 | OriginalPaper | Chapter

Markov Chains—Stationary Distributions and Steady State

Author : Marc A. Berger

Published in: An Introduction to Probability and Stochastic Processes

Publisher: Springer New York

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Let Nn(y) denote the number of visits of the Markov chain {Xn} to y during times m = 1,…,n. That is, $${N_n}(y) = \sum\limits_{m = 1}^n {{I_{\{ y\} }}({X_m})} $$

Metadata
Title
Markov Chains—Stationary Distributions and Steady State
Author
Marc A. Berger
Copyright Year
1993
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4612-2726-7_5