Investopedia

Stepwise Regression Explained: Uses, Benefits, and Drawbacks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Investopedia

Stepwise Regression: Definition, Uses, Example, and Limitations

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

Contains forward and backward stepwise selection algorithms

This repository contains two algorithms for doing stepwise regression: foward selection and backward selection The forward selection algorith creates a model by adding variables, one at a time, ...
Simon Fraser University

Example 39.1: Stepwise Logistic Regression and Predicted Values

Results of the CTABLE option are shown in Output 39.1.11. Each row of the "Classification Table" corresponds to a cutpoint applied to the predicted probabilities, which is given in the Prob Level ...
GitHub

Stepwise, Lasso, Ridge, and Elastic Net regression to minimize MSE, AIC, BIC, or VIF in Python and Jupyter Notebook

Note: This repository has been replaced by the PyMLR repository that is available at this link: https://github.com/gjpelletier/PyMLR The stepAIC module began as a ...
IEEE

Expert-in-the-loop Stepwise Regression and its Application in Air Pollution Modeling

Abstract: In this work, we provide a statistical procedure to integrate expert preferences towards explanatory variables in stepwise forward regression. The proposed method builds on the traditional ...