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To combine or not to combine: selecting among forecasts and their combinations · Study

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ArticleTo combine or not to combine: selecting among forecasts and their combinations

Michèle Hibon2004

Article2004

To combine or not to combine: selecting among forecasts and their combinations

Michèle Hibon · Theodoros Evgeniou

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

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Forecasting Techniques and Applications Statistical Methods and Inference Machine Learning and Data Classification

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References

1994Comparing Predictive Accuracy 1995Comparing Predictive Accuracy 1969The Combination of Forecasts 1989Combining forecasts: A review and annotated bibliography 2000The M3-Competition: results, conclusions and implications 1990Combining forecasts: A review and annotated bibliography 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 2001Principles of Forecasting

Cited by

2019Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition 2015Forecasting realized volatility in a changing world: A dynamic model averaging approach 2022Forecast combinations: An over 50-year review 2019Hybrid structures in time series modeling and forecasting: A review 2005A comparative study of autoregressive neural network hybrids 2007Tourism forecasting: To combine or not to combine?

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Details

Year2004

Typearticle

Published2004-07-27

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations325

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ijforecast.2004.05.002

openalex_workW2167477261

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2020Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion

2014‘Horses for Courses’ in demand forecasting