On the approximation of the stationary distribution of a monotone stochastic Markov chain
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Publication:1890729
DOI10.1016/0304-4149(94)00062-XzbMath0820.60051MaRDI QIDQ1890729
Publication date: 23 May 1995
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Markov chainlimiting distributionstochastically monotonecondition for geometric convergenceFoster- Lyapunov condition
Sums of independent random variables; random walks (60G50) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)
Related Items (4)
Weak stability bounds for approximations of invariant measures with applications to queueing ⋮ A weak perturbation theory for approximations of invariant measures in M/G/1 model ⋮ On the estimates of average characteristics of some birth and death processes ⋮ Some universal limits for nonhomogeneous birth and death processes
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- Markov chains and stochastic stability
- Monotone infinite stochastic matrices and their augmented truncations
- Non-negative matrices and Markov chains. 2nd ed
- Computing the stationary distribution for infinite Markov chains
- Limits for queues as the waiting room grows
- The existence of moments for stationary Markov chains
- Approximation of the invariant probability measure of an infinite stochastic matrix
- Truncation of Markov Chains with Applications to Queueing
- Stochastically monotone Markov Chains
- Approximating the stationary distribution of an infinite stochastic matrix
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