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A combination-based forecasting method for the M4-competition
16 references·1 citing·31 second hopsampled
A combination-based forecasting method for the M4-competition (2019)A combination-based forecasting method fo…The M4 Competition: Results, findings, conclusion and way forward (2018)The M4 Competition: Results, …Forecasting with temporal hierarchies (2017)Forecasting with temporal hie…Automatic time series forecasting: the forecast package for R (2017)Automatic time series forecas…Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation (2016)Bagging exponential smoothing…Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Forecasting Time Series With …Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Another look at measures of forecast accuracy (2006)Another look at measures of f…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…Principles of forecasting : a handbook for researchers and practitioners (2001)Principles of forecasting : a…The theta model: a decomposition approach to forecasting (2000)The theta model: a decomposit…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …The M2-competition: A real-time judgmentally based forecasting study (1993)The M2-competition: A real-ti…Combining forecasts: A review and annotated bibliography (1990)Combining forecasts: A review…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review…Averages of Forecasts: Some Empirical Results (1983)Averages of Forecasts: Some E…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…The M4 Competition: 100,000 time series and 61 forecasting methods (2019)The M4 Competition: 100,000 t…Accuracy of Forecasting: An Empirical Investigation (1979)Group versus individual performance: Are N + 1 heads better than one? (1982)Combining Probability Distributions: A Critique and an Annotated Bibliography (1986)Comparing Predictive Accuracy (1995)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting methods and applications (1993)Principles of Forecasting (2001)Analysis of Financial Time Series (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Book Review: Time Series Analysis: Forecasting and Control (1977)Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Forecasting at Scale (2017)Forecasting: theory and practice (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Construct validity in psychological tests. (1955)Time Series Analysis: Forecasting and Control. (1978)Tie Series Analysis, Forecasting, and Control (1995)Judgmental forecasting: A review of progress over the last 25years (2006)Consensus measurement in Delphi studies (2012)The Combination of Forecasts (1969)Forecasting with artificial neural networks: (1998)Exponential smoothing: The state of the art (1985)Time Series Analysis Forecasting and Control. (1971)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Forecast evaluation for data scientists: common pitfalls and best practices (2022)M5 accuracy competition: Results, findings, and conclusions (2022)Analysts' forecasts as earnings expectations (1988)Comparing Predictive Accuracy (1994)
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References

  • 2006Another look at measures of forecast accuracy5,980 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,665 cited
  • 1989Combining forecasts: A review and annotated bibliography2,170 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 1990Combining forecasts: A review and annotated bibliography1,508 cited
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,106 cited
  • 2011Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing1,055 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
  • 2017Automatic time series forecasting: the forecast package for R1,019 cited
  • 2018The M4 Competition: Results, findings, conclusion and way forward683 cited
  • 1983Averages of Forecasts: Some Empirical Results622 cited
  • 2000The theta model: a decomposition approach to forecasting513 cited
  • 2016Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation347 cited
  • 1993The M2-competition: A real-time judgmentally based forecasting study

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264 cited
  • 2017Forecasting with temporal hierarchies263 cited
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    • 2019The M4 Competition: 100,000 time series and 61 forecasting methods1,068 cited