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forecasting models are used widely for prediction, and it is important to understand when such models are stable. Now, forecast …
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Nonparametric prediction of time series is a viable alternative to parametric prediction, since parametric prediction relies on the correct specification of the process, its order and the distribution of the innovations. Often these are not known and have to be estimated from the data. Another...
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