New method improves accuracy of forecasting nonlinear autoregressive models exponentially!
The article tests assumptions about how the average and variability of a type of mathematical model change over time. By comparing different ways of estimating the model's behavior, the researchers found that one method has a faster rate of accuracy improvement than the traditional method. This was confirmed by testing the methods on different types of mathematical models.