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stat.AP2026
Multi-objective probabilistic forecast combination for inventory demand
Shengjie Wang, Yanfei Kang, Evangelos Spiliotis +1
Probabilistic forecasts are essential for inventory management, where decisions depend on the full distribution of future demand. While probabilistic forecast combination is widely…
stat.AP2024
Distributed ARIMA Models for Ultra-long Time Series
Xiaoqian Wang, Yanfei Kang, Rob J Hyndman +1
Providing forecasts for ultra-long time series plays a vital role in various activities, such as investment decisions, industrial production arrangements, and farm management. This…
stat.AP2024
Combining Probabilistic Forecasts of Intermittent Demand
Shengjie Wang, Yanfei Kang, Fotios Petropoulos
In recent decades, new methods and approaches have been developed for forecasting intermittent demand series. However, the majority of research has focused on point forecasting, wi…