All Stories

  1. An interpretable forecasting framework for energy consumption and CO2 emissions
  2. Explainable inflation forecasts by machine learning models
  3. On improving GARCH volatility forecasts for Bitcoin via a meta-learning approach
  4. Stacking hybrid GARCH models for forecasting Bitcoin volatility
  5. Comparative study on retail sales forecasting between single and combination methods
  6. Proposing a new combining algorithm to improve forecasting accuracy
  7. A new model selection strategy in time series forecasting with artificial neural networks: IHTS