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A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for modelling low frequency macroeconomic variables such as...
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An alternative model to class conditional probability estimation for classification problems is introduced. The model … distributions of the classes at the measurements points. A classification system is built by transforming the classification problem …
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classification problem and, thus, can be solved with machine learning methods. Using simulated seasonal and non-seasonal ARIMA …
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