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Model selection in reconciling hierarchical time series
Model selection has been proven an effective strategy for improving accu...
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Hierarchical forecast reconciliation with machine learning
Hierarchical forecasting methods have been widely used to support aligne...
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Machine learning applications in time series hierarchical forecasting
Hierarchical forecasting (HF) is needed in many situations in the supply...
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Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
The demand for a particular product or service is typically associated w...
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Demand Forecasting in the Presence of Systematic Events: Cases in Capturing Sales Promotions
Reliable demand forecasts are critical for the effective supply chain ma...
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Mahdi Abolghasemi
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