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Are forecasting competitions data representative of the reality?

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References

2006Another look at measures of forecast accuracy5,980 cited
2008Automatic Time Series Forecasting: The forecast Package for R3,665 cited
1993Forecasting methods and applications2,400 cited
2000The M3-Competition: results, conclusions and implications1,700 cited
1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
2002A state space framework for automatic forecasting using exponential smoothing methods1,106 cited
2017Automatic time series forecasting: the forecast package for R1,019 cited
2018The M4 Competition: Results, findings, conclusion and way forward683 cited
1999Forecasting: Methods and Applications632 cited
2000The theta model: a decomposition approach to forecasting513 cited
1999On the asymmetry of the symmetric MAPE348 cited
2010The tourism forecasting competition286 cited
1993The M2-competition: A real-time judgmentally based forecasting study264 cited
2014‘Horses for Courses’ in demand forecasting201 cited
2014Improving forecasting by estimating time series structural components across multiple frequencies184 cited

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2017Visualising forecasting algorithm performance using time series instance spaces157 cited

Cited by

2018Statistical and Machine Learning forecasting methods: Concerns and ways forward1,659 cited
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2020Generalizing the Theta method for automatic forecasting49 cited
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2021RETRACTED ARTICLE: Intelligent Decision Support System for Business Forecasting Using Artificial Intelligence8 cited