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GEOMETRIC ERGODICITY OF A DOUBLY STOCHASTIC TIME SERIES MODEL
Authors:Sean P.  Meyn Lei  Guo
Affiliation:University of Illinois and Institute of Systems Science, Beijing
Abstract:Abstract. We demonstrate that a large class of doubly stochastic time series models are geometrically ergodic, and hence admit second-order stationary solutions.
We also establish a version of the strong law of large numbers, the law of the interated logorithm and the central limit theorem for the stochastic processes under consideration.
Keywords:Doubly stochastic models    bilinear models    stationarity    Harris recurrence    geometric ergodicity
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