1. On weak dependence conditions: The case of discrete valued processes
- Author
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Doukhan, P., Fokianos, Konstantinos, Li, X., and Fokianos, Konstantinos [0000-0002-0051-711X]
- Subjects
Statistics and Probability ,Contraction ,Thinning operator ,Mathematical analysis ,Markov process ,Integer autoregressive processes ,symbols.namesake ,Mixing ,Integer ,symbols ,Statistics, Probability and Uncertainty ,Contraction principle ,Dependence ,Contraction (operator theory) ,Mathematics - Abstract
We investigate the relationship between weak dependence and mixing for discrete valued processes. We show that weak dependence implies mixing conditions under natural assumptions. The results specialize to the case of Markov processes. Several examples of integer valued processes are discussed and their weak dependence properties are investigated by means of a contraction principle. In fact, we show the stronger result that the mixing coefficients for infinite memory weakly dependent models decay geometrically fast. Hence, all integer values models that we consider have weak dependence coefficients which decay geometrically fast. © 2012 Elsevier B.V. 82 11 1941 1948 Cited By :4
- Published
- 2012
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