Information flow in some classes of Markov systems
- 1 September 1974
- journal article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 11 (3), 594-600
- https://doi.org/10.2307/3212706
Abstract
The information flow in discrete Markov systems provides a method for determining that such a system is ergodic. Estimates are obtained for the information flow in some classes of Markov systems and using these estimates criteria for the ergodicity of the systems are established.Keywords
This publication has 2 references indexed in Scilit:
- Information flow in one-dimensional Markov systemsProceedings of the American Mathematical Society, 1974
- Information flow in discrete Markov systemsJournal of Applied Probability, 1973