Large deviations, hypotheses testing, and source coding for finite Markov chains
- 1 May 1985
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 31 (3), 360-365
- https://doi.org/10.1109/tit.1985.1057036
Abstract
No abstract availableThis publication has 7 references indexed in Scilit:
- The error exponent for the noiseless encoding of finite ergodic Markov sourcesIEEE Transactions on Information Theory, 1981
- Non-negative Matrices and Markov ChainsPublished by Springer Nature ,1981
- The source coding theorem revisited: A combinatorial approachIEEE Transactions on Information Theory, 1979
- Asymptotically Optimal Tests for Finite Markov ChainsThe Annals of Mathematical Statistics, 1971
- Some Limit Theorems in StatisticsPublished by Society for Industrial & Applied Mathematics (SIAM) ,1971
- Asymptotically Optimal Tests for Multinomial DistributionsThe Annals of Mathematical Statistics, 1965
- Asymptotic Rate of Discrimination for Markov ProcessesThe Annals of Mathematical Statistics, 1960