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Unreliable travel times cause substantial costs to travelers. Nevertheless, they are not taken into account in many cost-benefit-analyses (CBA), or only in very rough ways. This paper aims at providing simple rules on how variability can be predicted, based on travel time data from Dutch...
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This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on price patterns from foreign markets that have become available overnight. As the close-to-open gap is a scalar response variable to a functional variable, it is natural to focus on...
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patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of … compares two NN methodologies. First, it uses NNs to forecast regional employment in both the former West and East Germany … differences in the size and time horizons of the data, the forecasts for West and East Germany are computed separately. The out …
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