System Design Alternatives
There is certainly no lack of methods for predicting time series. Traditional econometric models (e.g. ARMA) as well as various GARCH formulations have been extensively applied. More recently models based on Pareto-Levy (nonlinear) distributions incorporating embeddings in phase-space reconstructions have had some success. Neural networks, genetic algorithms, and their A.I. spinoffs are also used with […]
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