To use input series, list the input series in a CROSSCORR= option on the IDENTIFY statement and specify how they enter the model with an INPUT= option on the ESTIMATE statement. For example, you might ...

In the development of data-driven models for streamflow forecasting, choosing appropriate input variables is crucial. Although random forest (RF) has been successfully applied to streamflow ...

To forecast a response series using an ARIMA model with inputs, you need values of the input series for the forecast periods. You can supply values for the input variables for the forecast periods in ...

Deep neural networks (DNNs) are a popular machine-learning technique and have shown superior performance in many scientific problems. Despite their high prediction accuracy, DNNs are often criticized ...