Journal of Applied Probability · 2013 · 30 citations · 14 references
Natural SciencesMathematicsProbability TheoryStochastic ModelingStochastic ProcessesErgodic TheoryMarkov ChainsMarkov ProcessesPerturbation TheoryStability TheoryStochastic StabilityAsymptotic StabilityAutoregressive ModelsAutoregressive ProcessesErgodic StabilityErgodicityErgodicity ConditionsRegular Perturbation TheoryStability Of Markov Processes
In this paper, new conditions for the stability of V -geometrically ergodic Markov chains are introduced. The results are based on an extension of the standard perturbation theory formulated by Keller and Liverani. The continuity and higher regularity properties are investigated. As an illustration, an asymptotic expansion of the invariant probability measure for an autoregressive model with independent and identically distributed noises (with a nonstandard probability density function) is obtained.
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