4 citations · 13 across the 13 of their papers we have counts for
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Infinite forecast combinations based on Dirichlet process
Yinuo Ren, Feng Li, Yanfei Kang +1
Forecast combination integrates information from various sources by consolidating multiple forecast results from the target time series. Instead of the need to select a single opti…
Forecasting large collections of time series: feature-based methods
Li Li, Feng Li, Yanfei Kang
In economics and many other forecasting domains, the real world problems are too complex for a single model that assumes a specific data generation process. The forecasting perform…
A hybrid ensemble method with negative correlation learning for regression
Yun Bai, Ganglin Tian, Yanfei Kang +1
Hybrid ensemble, an essential branch of ensembles, has flourished in the regression field, with studies confirming diversity's importance. However, previous ensembles consider dive…
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu +2
Forecasting models that are trained across sets of many time series, known as Global Forecasting Models (GFM), have shown recently promising results in forecasting competitions and…