Convergence of Markov Chains in Information Divergence
- 5 December 2007
- journal article
- Published by Springer Science and Business Media LLC in Journal of Theoretical Probability
- Vol. 22 (1), 186-202
- https://doi.org/10.1007/s10959-007-0133-7
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Information Topologies with ApplicationsPublished by Springer Science and Business Media LLC ,2007
- Entropy and the Law of Small NumbersIEEE Transactions on Information Theory, 2005
- Fisher information inequalities and the central limit theoremProbability Theory and Related Fields, 2004
- Information projections revisitedIEEE Transactions on Information Theory, 2003
- Binomial and Poisson distributions as maximum entropy distributionsIEEE Transactions on Information Theory, 2001
- Entropy and the Central Limit TheoremThe Annals of Probability, 1986
- Sanov Property, Generalized $I$-Projection and a Conditional Limit TheoremThe Annals of Probability, 1984
- $I$-Divergence Geometry of Probability Distributions and Minimization ProblemsThe Annals of Probability, 1975
- Information theory and the limit-theorem for Markov chains and processes with a countable infinity of statesAnnals of the Institute of Statistical Mathematics, 1963
- Passage to the Limit under the Information and Entropy SignsTheory of Probability and Its Applications, 1960