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Perturbed Markov chains

Authors: Eilon Solan; Nicolas Vieille;

Perturbed Markov chains

Abstract

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.

Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
Green
bronze
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