Supplementary Methods To determine whether a time series reflects linear or nonlinear processes we compare the out-of-sample forecast skill of a linear model versus an equivalent nonlinear model. To do this, we apply a t - Forecast skill - Document - PDFSEARCH.IO

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	Supplementary Methods To determine whether a time series reflects linear or nonlinear processes we compare the out-of-sample forecast skill of a linear model versus an equivalent nonlinear model. To do this, we apply a t Add to Reading List Document Date: 2008-08-06 22:20:19 Open Document File Size: 477,00 KB Share Result on Facebook City New York / / Company World Scientific Press / / Facility University of California / / IndustryTerm nearest-neighbor forecasting algorithm / forecast protocol / / Organization University of California / Santa Cruz / / Position Farmer / / ProvinceOrState California / New York / / Technology forecast protocol / nearest-neighbor forecasting algorithm / / SocialTag Abstract algebra Data analysis Polytopes Simplex Topology Singular value decomposition Chaos theory Vector space Embedding Algebra

Supplementary Methods To determine whether a time series reflects linear or nonlinear processes we compare the out-of-sample forecast skill of a linear model versus an equivalent nonlinear model. To do this, we apply a tAdd to Reading List