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In many practical cases in time series analysis, marginal distributions in stationary situations are not Gaussian. It is therefore necessary to be able to generate and analyze non-Gaussian time series. Several non-Gaussian time series models are discussed in this paper. The marginal distributions are Laplace or <italic>l</italic>-Laplace distributions, and(More)
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