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assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI …
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series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …
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forecasting, as demonstrated by out-of-sample predictions for 2017. …
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In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …
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This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve … forecasting purposes. Overall, evidence suggests that U.S. monetary policy behaviour between1987-2012 is nonlinear. …
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