Let us try to predict a time series. The goal here is to establish a function based on observed values (time series data). Using x1,x2,x3,⋯x4 we attempt to obtain a function xt=f(xt-1,xt-2,xt-3,xt-4,⋯,xt-m) that can be used to predict current data xt from previously observed data. The reader should note that the arguments of this function do not include a time variable t. This is to avoid deriving a time series prediction function that is dependent on absolute time.
CITATION STYLE
Iba, H., & Aranha, C. C. (2012). Predicting financial data. In Adaptation, Learning, and Optimization (Vol. 11, pp. 85–121). Springer Verlag. https://doi.org/10.1007/978-3-642-27648-4_4
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