Diebold-Mariano Test: Accurately Evaluate Forecasting Model Performance
The Diebold-Mariano Test evaluates the predictive accuracy of forecasting models, providing a statistical measure to compare their performance. It quantifies the difference in accuracy between models, assuming no difference in their null hypothesis. The test statistic indicates the significance of the difference, with a low p-value suggesting a substantial difference in accuracy. Based on the…