The Condition of a Finite Markov Chain and Perturbation Bounds for the Limiting Probabilities.
Carl D. Meyer Jr.Published in: SIAM J. Algebraic Discret. Methods (1980)
Keyphrases
- markov chain
- transition probabilities
- steady state
- finite state
- monte carlo
- upper bound
- random walk
- markov process
- stationary distribution
- state space
- monte carlo simulation
- lower bound
- probability distribution
- markov model
- transition matrix
- sufficient conditions
- monte carlo method
- belief networks
- markov chain monte carlo
- gibbs sampling
- finite number
- maximum entropy
- search space
- learning algorithm