On weak dependence conditions: The case of discrete valued processes

Paul Doukhan, Konstantinos Fokianos, Xiaoyin Li

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21 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1941-1948
Number of pages8
JournalStatistics and Probability Letters
Volume82
Issue number11
DOIs
StatePublished - Nov 2012
Externally publishedYes

Bibliographical note

Funding Information:
K. Fokianos is partially supported by a Leventis Foundation grant and the paper was completed during a visit at the Department of Mathematics, University Cergy-Pontoise. We also acknowledge the constructive report of the reviewer, as well as O. Wintenberger who helped us improve a previous version and derive Theorem 1 .

Keywords

  • Contraction
  • Dependence
  • Integer autoregressive processes
  • Mixing
  • Thinning operator

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