标题
The M5 uncertainty competition: Results, findings and conclusions
作者
关键词
Forecasting competitions, M competitions, Uncertainty, Probabilistic forecasts, Time series, Machine learning, Retail sales forecasting
出版物
INTERNATIONAL JOURNAL OF FORECASTING
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2021-12-10
DOI
10.1016/j.ijforecast.2021.10.009
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- The M5 competition: Background, organization, and implementation
- (2021) Spyros Makridakis et al. INTERNATIONAL JOURNAL OF FORECASTING
- Exploring the representativeness of the M5 competition data
- (2021) Evangelos Theodorou et al. INTERNATIONAL JOURNAL OF FORECASTING
- Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data
- (2021) Evangelos Spiliotis et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Comparison of statistical and machine learning methods for daily SKU demand forecasting
- (2020) Evangelos Spiliotis et al. Operational Research
- Investigating the accuracy of cross-learning time series forecasting methods
- (2020) Artemios-Anargyros Semenoglou et al. INTERNATIONAL JOURNAL OF FORECASTING
- On single point forecasts for fat-tailed variables
- (2020) Nassim Nicholas Taleb et al. INTERNATIONAL JOURNAL OF FORECASTING
- Pandemics and forecasting: The way forward through the Taleb-Ioannidis debate
- (2020) Pierre Pinson et al. INTERNATIONAL JOURNAL OF FORECASTING
- Retail forecasting: Research and practice
- (2019) Robert Fildes et al. INTERNATIONAL JOURNAL OF FORECASTING
- Another look at forecast selection and combination: Evidence from forecast pooling
- (2018) Nikolaos Kourentzes et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Assessing Uncertainty from Point Forecasts
- (2018) Anil Gaba et al. MANAGEMENT SCIENCE
- Statistical and Machine Learning forecasting methods: Concerns and ways forward
- (2018) Spyros Makridakis et al. PLoS One
- Old dog, new tricks: a modelling view of simple moving averages
- (2017) Ivan Svetunkov et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Ensembles of Overfit and Overconfident Forecasts
- (2017) Yael Grushka-Cockayne et al. MANAGEMENT SCIENCE
- Distributions of forecasting errors of forecast combinations: Implications for inventory management
- (2016) Devon K. Barrow et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- ‘Horses for Courses’ in demand forecasting
- (2014) Fotios Petropoulos et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Demand forecasting by temporal aggregation
- (2013) Bahman Rostami-Tabar et al. NAVAL RESEARCH LOGISTICS
- Optimal combination forecasts for hierarchical time series
- (2011) Rob J. Hyndman et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Evaluating Quantile Assessments
- (2009) Victor Richmond R. Jose et al. OPERATIONS RESEARCH
- Editorial: Probabilistic forecasting
- (2008) Tilmann Gneiting JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
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