
arXiv: math/0306248
handle: 10419/221691
We study irreducible time-homogenous Markov chains with finite state space in discrete time. We obtain results on the sensitivity of the stationary distribution and other statistical quantities with respect to perturbations of the transition matrix. We define a new closeness relation between transition matrices, and use graph-theoretic techniques, in contrast with the matrix analysis techniques previously used.
Markov chains, ddc:330, Probability (math.PR), exit distribution, [SHS.ECO.ECO] Humanities and Social Sciences/Economics and Finance/domain_shs.eco.eco, Perturbed Markov chains, Markov chains (discrete-time Markov processes on discrete state spaces), stationary distribution, perturbed markov chains; conductance, Large deviations, sensitivity analysis, 60J10; 60F10, FOS: Mathematics, 60J10, stability of a Markov chain, Mathematics - Probability, conductance, perturbation theory, 60F10, jel: jel:C44
Markov chains, ddc:330, Probability (math.PR), exit distribution, [SHS.ECO.ECO] Humanities and Social Sciences/Economics and Finance/domain_shs.eco.eco, Perturbed Markov chains, Markov chains (discrete-time Markov processes on discrete state spaces), stationary distribution, perturbed markov chains; conductance, Large deviations, sensitivity analysis, 60J10; 60F10, FOS: Mathematics, 60J10, stability of a Markov chain, Mathematics - Probability, conductance, perturbation theory, 60F10, jel: jel:C44
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