This paper using bagged GARCH-type model, with ensemble averaging estimators models and compares the forecast … Forecast Error (RMSFE) as forecast-error measures, the results shows bagging- ensemble based methods to out-perform the … alternative volatility models. The study recommended that volatility estimates obtained via bagged ensemble methods should be used …

This paper using bagged GARCH-type model, with ensemble averaging estimators models and compares the forecast … Forecast Error (RMSFE) as forecast-error measures, the results shows bagging- ensemble based methods to out-perform the … alternative volatility models. The study recommended that volatility estimates obtained via bagged ensemble methods should be used …

) using a stacked ensemble meta-learning method to make retail demand forecasts over multiple horizons. The framework handles …. Stacked ensemble architecture has high predictive work at R2= 0.9681, root mean squared = 1.48 units and mean absolute error …