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hdflex - High-Dimensional Aggregate Density Forecasts
Provides a forecasting method that efficiently maps vast numbers of (scalar-valued) signals into an aggregate density forecast in a time-varying and computationally fast manner. The method proceeds in two steps: First, it transforms a predictive signal into a density forecast and, second, it combines the resulting candidate density forecasts into an ultimate aggregate density forecast. For a detailed explanation of the method, please refer to Adaemmer et al. (2025) <doi:10.1080/07350015.2025.2526424>.
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ensemble-learningforecast-combinationforecastinghigh-dimensionalitytime-seriesopenblascppopenmp
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