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 ...

Building on two centuries' experience, Taylor & Francis has grown rapidly over the last two decades to become a leading international academic publisher. The Group publishes over 800 journals and over ...

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 ...