80 citations · 110 across the 4 of their papers we have counts for
5 papers
Another look at forecast trimming for combinations: robustness, accuracy and diversity
Xiaoqian Wang, Yanfei Kang, Feng Li
Forecast combination is widely recognized as a preferred strategy over forecast selection due to its ability to mitigate the uncertainty associated with identifying a single "best"…
Forecast combinations: an over 50-year review
Xiaoqian Wang, Rob J Hyndman, Feng Li +1
Forecast combinations have flourished remarkably in the forecasting community and, in recent years, have become part of the mainstream of forecasting research and activities. Combi…
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…
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…
The uncertainty estimation of feature-based forecast combinations
Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos +1
Forecasting is an indispensable element of operational research (OR) and an important aid to planning. The accurate estimation of the forecast uncertainty facilitates several opera…