You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Information Flow in Some Classes of Markov Systems
D. A. Dawson
Journal of Applied Probability
Vol. 11, No. 3 (Sep., 1974), pp. 594-600
Published by: Applied Probability Trust
Stable URL: http://www.jstor.org/stable/3212706
Page Count: 7
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
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.
Journal of Applied Probability © 1974 Applied Probability Trust