Reproducibility

By Przemyslaw Biecek, Tomasz Burzykowski. 2019

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Evangelos Spiliotis
2. Konstantinos Nikolopoulos
3. Vassilios Assimakopoulos
4. Fotios Petropoulos
5. Spyros Makridakis
6. Rob J Hyndman
7. Boris N. Oreshkin
8. Alexei Botchkarev

Citations in the corpus

• Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors (2018, background): “Moreover, since the data are publicly available, they meet the conditions for reproducibility (Boylan, 2016).”
• Tales from tails: On the empirical distributions of forecasting errors and their implication to risk (2019, methodology): “For all of the methods considered the defaults settings are used for reasons of simplicity and reproducibility (Boylan, 2016).”