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forecasting range. Next, additional forecasts are computed, by combining the NN methodology with Shift-Share Analysis (SSA). Since …-of-sample forecasting ability of the models is evaluated by means of several appropriate statistical indicators. …
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Highly non-elliptical posterior distributions may occur in several econometric models, in particular, when the likelihood information is allowed to dominate and data information is weak. We explain the issue of highly non-elliptical posteriors in a model for the effect of education on income...
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A major problem in applying neural networks is specifying the sizeof the network. Even for moderately sized networks the number ofparameters may become large compared to the number of data. In thispaper network performance is examined while reducing the size of thenetwork through the use of...
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forecasting the term structure of interest rates. As expected, I find that using more flexible models leads to a better in …
Persistent link: https://www.econbiz.de/10011372504