Research Article
Conditional steady-state bounds for a subset of states in Markov chains
@INPROCEEDINGS{10.1145/1190366.1190368, author={Tugrul Dayar and Nihal Pekergin and Sana Younes}, title={Conditional steady-state bounds for a subset of states in Markov chains}, proceedings={1st International ICST Workshop on Tools for solving Structured Markov Chains}, publisher={ACM}, proceedings_a={SMCTOOLS}, year={2012}, month={4}, keywords={Markov chains conditional steady-state vector stochastic comparison strong stochastic order bounding}, doi={10.1145/1190366.1190368} }
- Tugrul Dayar
Nihal Pekergin
Sana Younes
Year: 2012
Conditional steady-state bounds for a subset of states in Markov chains
SMCTOOLS
ACM
DOI: 10.1145/1190366.1190368
Abstract
The problem of computing bounds on the conditional steady-state probability vector of a subset of states in finite, ergodic discrete-time Markov chains (DTMCs) is considered. An improved algorithm utilizing the strong stochastic (st-)order is given. On standard benchmarks from the literature and other examples, it is shown that the proposed algorithm performs better than the existing one in the strong stochastic sense. Furthermore, in certain cases the conditional steady-state probability vector of the subset under consideration can be obtained exactly.
Copyright © 2006–2024 ACM