JMP Pro: Finding Important Predictors
Finding Important Predictors Course
This course teaches you techniques for fitting statistical models to identify important variables. Manual, graphical, and automated variable selection techniques are presented, along with advanced modeling methods. The demonstrations include modeling both designed and undesigned data. Techniques are illustrated using both JMP software and JMP Pro software. Note that JMP Pro software is needed for the advanced techniques covered in the second half of this course.
Learn how to:
- Identify a subset of predictors as important using a statistical model.
- Validate statistical models using cross-validation, holdback validation, and information-theoretic criteria.
- Perform stepwise and all subsets regression.
- Select important predictors using graphical methods and decision trees.
- Perform penalized regression for Gaussian and non-Gaussian responses.
- Use the Generalized Regression platform to identify important predictors.