Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

When interdependence of disturbances is present in a regression model, the pattern of sample residuals contains information which is useful in prediction of post-sample drawings. This information, ...

The Data Science Lab Regression Using PyTorch New Best Practices, Part 2: Training, Accuracy, Predictions Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices ...

Robert A. Stine, Bootstrap Prediction Intervals for Regression, Journal of the American Statistical Association, Vol. 80, No. 392 (Dec., 1985), pp. 1026-1031 ...

This is the second of two articles that explain how to create and use PyTorch regression model. A regression problem is one where the goal is to predict a single numeric value. For example, you might ...