cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Choose Language Hide Translation Bar
Resources from the "Variable selection made easy using the Generalized Regression platform in JMP Pro" tutorial

These are the slides and journal that I used in my tutorial "Variable selection made easy using the Generalized Regression platform in JMP Pro".


Variable selection is the process of selecting a subset of relevant variables or predictors to use in modeling the response. It is a crucial task that yields simpler models that generalize better to new data, but it does not have to be a difficult process. The Generalized Regression ("Genreg") platform in JMP Pro enables you to do variable selection quickly, easily and interactively in a variety of settings (including least squares, logistic and Poisson regression). We will review the variable selection techniques available within Genreg (forward selection, Lasso and more) and then look at how the platform makes these techniques easy to employ. Examples will range from designed experiments to predictive modeling.

Discovery Summit 2016 Resources

Discovery Summit 2016 is over, but it's not too late to participate in the conversation!

Below, you'll find papers, posters and selected video clips from Discovery Summit 2016.