Speaker
Chris Gotwalt
(JMP Division of SAS Institute)
Description
JMP continues to develop powerful capabilities for statisticians and data scientists in industry. In the session we will demonstrate capabilities in JMP and JMP Pro 19 for Bayesian Optimization of multiple responses, and a new Causal Inference platform that makes establishing causality from observational data easily accessible to non-statistician researchers. We will also give a preview of new developments coming in JMP 20, including Mixed Model Variable Selection, Bayesian Optimization for split plot experiments, as well as other highlights.
| Special/ Invited session | Software Session |
|---|---|
| Classification | Mainly application |
| Keywords | JMP, Bayesian Optimization, Mixed Models |
Primary author
Chris Gotwalt
(JMP Division of SAS Institute)