Open Access
1997 A COMPLETELY STATIONARY MARKOV CHAIN WITH INFINITE STATE SPACE
Y. H. Wang, Lingqi Tang
Taiwanese J. Math. 1(4): 517-525 (1997). DOI: 10.11650/twjm/1500406126

Abstract

We introduce an innite dimension completely stationary ergodic Markov chain; investigate its properties; establish a sucient condition that the Markov property of a Markov chain is preserved by its induced multi-state sequence and nally derive the limiting distribution of the sum of the Markov chain. It is the simplest, nontrivial, innite dimension Markov chain which possesses all the nice properties - stationarity, irreducibility, positive recurrency, aperiodicity, : : :, etc.

Citation

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Y. H. Wang. Lingqi Tang. "A COMPLETELY STATIONARY MARKOV CHAIN WITH INFINITE STATE SPACE." Taiwanese J. Math. 1 (4) 517 - 525, 1997. https://doi.org/10.11650/twjm/1500406126

Information

Published: 1997
First available in Project Euclid: 18 July 2017

zbMATH: 0896.60033
MathSciNet: MR1486569
Digital Object Identifier: 10.11650/twjm/1500406126

Subjects:
Primary: 60F05 , 60J10

Keywords: Ergodic , Limiting distribution , Markov chain , multivariate compound Poisson distribution , stationary , Sum of random variables

Rights: Copyright © 1997 The Mathematical Society of the Republic of China

Vol.1 • No. 4 • 1997
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