The M5 uncertainty competition: Results, findings and conclusions

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