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On dependence structure of copula-based Markov chains

Martial Longla — 2014

ESAIM: Probability and Statistics

We consider dependence coefficients for stationary Markov chains. We emphasize on some equivalencies for reversible Markov chains. We improve some known results and provide a necessary condition for Markov chains based on Archimedean copulas to be exponential -mixing. We analyse the example of the Mardia and Frechet copula families using small sets.

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