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ArticleMachine learning in M4: What makes a good unstructured model?

Jocelyn Barker2019

Article2019

Machine learning in M4: What makes a good unstructured model?

45 citations·0/0 files stored·International Journal of Forecasting

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Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

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References

2008Automatic Time Series Forecasting: The forecast Package for R 2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward 2017Automatic time series forecasting: the forecast package for R 2018The M4 Competition: Results, findings, conclusion and way forward 2017Visualising forecasting algorithm performance using time series instance spaces 2019Are forecasting competitions data representative of the reality?

Cited by

2022Forecasting: theory and practice 2021Cross‐item learning for volatile demand forecasting: An intervention with predictive analytics 2023Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins 2023Time Series Forecasting with Statistical, Machine Learning, and Deep Learning Methods: Past, Present, and Future 2020A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

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2020Investigating the accuracy of cross-learning time series forecasting methodsarticle · 6 shared references 2020Recurrent Neural Networks for Time Series Forecasting: Current status and future directionsarticle · 5 shared references 2019The M4 Competition: 100,000 time series and 61 forecasting methodsarticle · 5 shared references 2021Product sales probabilistic forecasting: An empirical evaluation using the M5 competition dataarticle · 5 shared references 2018Statistical and Machine Learning forecasting methods: Concerns and ways forwardarticle · 4 shared references 2019N-BEATS: Neural basis expansion analysis for interpretable time series forecastingpreprint · 4 shared references

Details

Year2019

Typearticle

Published2019-07-30

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations45

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ijforecast.2019.06.001

openalex_workW2965971168

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