Using Generalized Regression in JMP® Pro to Create Robust Linear Models 

See several case studies that show how to use Generalized Penalized) Regression to use JMP Pro interactively to model complex data where response variables have arbitrary distributions.

This webinar covers: overviews of Generalized Regression and Quantile Regression and how they can be useful; using lasso and elastic net shrinkage techniques; reducing prediction variance; handling non- normal and zero-inflated responses; Cauchy regression: and median regression.