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Switching ARMA processes have recently appeared as an eecient modelling to nonlinear time series models, because they can represent multiple or heterogeneous dynamics through simple components. The levels of dependence between the observations are double: at a rst level, the parameters of the model (AR, MA or ARMA) are selected by a Markovian procedure. At(More)
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