Convergence of Conditional Entropy for Long Range Dependent Markov Chains.
Andrew FeutrillMatthew RoughanPublished in: CoRR (2021)
Keyphrases
- long range
- markov chain
- conditional entropy
- information theory
- short range
- steady state
- mutual information
- finite state
- transition probabilities
- markov model
- state space
- stationary distribution
- markov process
- conditional random fields
- markov processes
- random walk
- information theoretic
- probabilistic automata
- long range correlations
- bayes error rate
- transition matrix
- machine learning
- long range interactions
- non stationary
- maximum likelihood