Abstract
Abstract This paper concerns the prediction of multivariable stochastic time series. An algorithm for a self-tuning predictor is constructed and some of its properties are discussed. Possible modifications of the algorithm for practical applications are also presented. A simulated example further illustrates the behaviour of the predictor.
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