Publication | Open Access
Chernoff and Berry–Esséen inequalities for Markov processes
49
Citations
16
References
2001
Year
Spectral TheoryEngineeringGibbs MeasureEntropyNatural SciencesStochastic ProcessesMarkov ProcessesStochastic CalculusEmpirical MeanStochastic Dynamical SystemMarkov KernelStochastic AnalysisProbability TheoryDistribution FunctionGeneral Ergodic MarkovPoisson Boundary
In this paper, we develop bounds on the distribution function of the empirical mean for general ergodic Markov processes having a spectral gap. Our approach is based on the perturbation theory for linear operators, following the technique introduced by Gillman.
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