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The M4 Competition: Results, findings, conclusion and way forward · Study

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ArticleThe M4 Competition: Results, findings, conclusion and way forward

Spyros Makridakis2018

Article2018

The M4 Competition: Results, findings, conclusion and way forward

Spyros Makridakis · Evangelos Spiliotis · Vassilios Assimakopoulos

634 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

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 634 citations exist upstream.

References

2000The M3-Competition: results, conclusions and implications 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 2010An Empirical Comparison of Machine Learning Models for Time Series Forecasting 2009forecast: Forecasting Functions for Time Series and Linear Models

Cited by

2020Probabilistic forecasting with temporal convolutional neural network 2022Deep Learning for Time Series Forecasting: Tutorial and Literature Survey 2019Retail forecasting: Research and practice 2019Criteria for classifying forecasting methods 2020Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion 2020Daily tourism volume forecasting for tourist attractions 2020Daily retail demand forecasting using machine learning with emphasis on calendric special days 2019Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology

Details

Year2018

Typearticle

Published2018-06-20

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations634

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.ijforecast.2018.06.001

openalex_workW2808800115

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