Publisher
Springer Nature Switzerland
Reference45 articles.
1. Hewamalage, H., Ackermann, K., Bergmeir, C.: Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices (2022). https://doi.org/10.48550/arxiv.2203.10716
2. Ruiz-Reina, M.A.: An approximation to relative automatic time series forecasting measures. In: ITISE 2022 International Conference on Time Series and Forecasting, pp. 42–42 (2022)
3. de Gooijer, J.G., Hyndman, R.J.: 25 Years of IIF Time Series Forecasting: A Selective Review. SSRN Electron. J. (2011). https://doi.org/10.2139/ssrn.748904
4. Petropoulos, F., et al.: Forecasting: theory and practice. Int. J. Forecast. 38(3), 705–871 (2022). https://doi.org/10.1016/J.IJFORECAST.2021.11.001
5. Bontempi, G., ben Taieb, S., le Borgne, Y.E.: Machine learning strategies for time series forecasting (2013). https://doi.org/10.1007/978-3-642-36318-4_3