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Fast and accurate yearly time series forecasting with forecast combinations
13 references·0 citing·33 second hop
Fast and accurate yearly time series forecasting with forecast combinations (2019)Fast and accurate yearly time series fore…Meta‐learning how to forecast time series (2023)Meta‐learning how to forecast…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…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…Simple robust averages of forecasts: Some empirical results (2007)Simple robust averages of for…To combine or not to combine: selecting among forecasts and their combinations (2004)To combine or not to combine:…The theta model: a decomposition approach to forecasting (2000)The theta model: a decomposit…Combining forecasts: A review and annotated bibliography (1990)Combining forecasts: A review…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review…Improved methods of combining forecasts (1984)Improved methods of combining…The Combination of Forecasts (1969)The Combination of ForecastsForecasting: Methods and Applications (1999)The tourism forecasting competition (2010)Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Forecast combinations: An over 50-year review (2022)Expert judgment: Some necessary conditions and an example. (1974)Chapter 4 Forecast Combinations (2006)Time Series Analysis: Forecasting and Control (1977)Another look at measures of forecast accuracy (2006)Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Structural combination of seasonal exponential smoothing forecasts applied to load forecasting (2018)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)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Forecasting realized volatility in a changing world: A dynamic model averaging approach (2015)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The M3-Competition: results, conclusions and implications (2000)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Retail forecasting: Research and practice (2019)Probabilistic forecasting with temporal convolutional neural network (2020)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Time series forecasting using a hybrid ARIMA and neural network model (2003)25 years of time series forecasting (2006)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Forecasting Output and Inflation: The Role of Asset Prices (2003)Combination forecasts of output growth in a seven‐country data set (2004)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)M5 accuracy competition: Results, findings, and conclusions (2022)Handbook of Economic Forecasting (2013)
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References

  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 1969The Combination of Forecasts3,194 cited
  • 1989Combining forecasts: A review and annotated bibliography2,170 cited
  • 1990Combining forecasts: A review and annotated bibliography1,465 cited
  • 1984Improved methods of combining forecasts1,152 cited
  • 2011Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing1,055 cited
  • 2017Automatic time series forecasting: the forecast package for R978 cited
  • 2018The M4 Competition: Results, findings, conclusion and way forward634 cited
  • 2000The theta model: a decomposition approach to forecasting507 cited
  • 2004To combine or not to combine: selecting among forecasts and their combinations325 cited
  • 2017Forecasting with temporal hierarchies263 cited
  • 2007Simple robust averages of forecasts: Some empirical results242 cited
  • 2023Meta‐learning how to forecast time series110 cited

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