Prediction of Dynamical time Series Using Kernel Based Regression and Smooth Splines

31 Oct 2015Raymundo NavarreteDivakar Viswanath

Prediction of dynamical time series with additive noise using support vector machines or kernel based regression has been proved to be consistent for certain classes of discrete dynamical systems. Consistency implies that these methods are effective at computing the expected value of a point at a future time given the present coordinates... (read more)

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