Nordic JMP Users Group

Dear all,    thanks for your interest, questions and discussion during the Nordics Users Group.  Here you will find some resources mentioned during the event:   1. Bayesian Optimization: Recording from the event: https://community.jmp.com/t5/Learn-JMP-Events/Accelerating-Innovation-Using-Bayesian-Optimization/ev-p/907031  Overview Page: https://www.jmp.com/en/software/bayesian-optimization Developer tutorial: https://community.jmp.com/t5/Learn-JMP-Events/Developer-Tutorial-Bayesian-Optimization/ev-p/894910 Applied Bayes. Opt: https://www.jmp.com/en/events/americas/live-webinars/technically-speaking/2025/11-18-technically-speaking-bays-op 2. JMP 19:  Overview page: https://www.jmp.com/en/software/new-release/new-in-jmp Causal Treatment Blog: https://community.jmp.com/t5/JMPer-Cable/From-correlation-to-causation-The-Causal-Treatment-platform/ba-p/896603 Causal Treatment Blog: https://community.jmp.com/t5/JMPer-Cable/Choosing-estimators-in-the-Causal-Treatment-platform/ba-p/896613 3. Staying informed:  Subscribe to the JMP Newswire: www.jmp.com/newswire Connect with others at Discovery Summit: https://community.jmp.com/t5/Discovery-Summits/Europe-2026/ev-p/874695?profile.language=en   Some impressions:                      ... View more

Dear JMP Users,    We’re excited to welcome you to the JMP Nordics Users Group on October 9th at SAS Institute Copenhagen.   Check out the full agenda and get ready for a day of insights, innovation, and networking with fellow JMP users across the Nordics! https://www.jmp.com/en/events/europe/users-groups/2025/nordics   Feel free to forward this to colleagues who might be interested in joining us!   ... View more

Topic: Heredity Bootstrap PLS MLR (H-BPLS LS) for high-dimensional DoE with SAS JMP Presenter: Dr Knut Dyrstad - Chemometrician (KD Metrix)   Content 1. Introduction to Design of Experiments (DoE) ➢ Why DSD 2. Heredity-based variable selection strategy 3. High dimensional Definitive Screening Design (DSD) 4. Heredity Bootstrap PLS MLR (H-BPLS LS) for DSD 5. Summary ... View more

Hi all, Thank you for attending the first JMP Meet-up in Norway. Special thanks to Patrick Galler (@Ressel) for hosting us at the Aker BioMarine office.  As a follow-up, I wanted to share some helpful resources related to Design of Experiments (DoE) since we talked a lot about that, along with the presentation from our session (attached with all links provided inside) about how to nurture data driven mindset from the individual to the whole organization. For those of you just starting with DoE, the Easy DoE platform in JMP provides an end-to-end guided approach, allowing you to define, enter data, and analyze experiments seamlessly. You can explore it here: Easy DoE: The Place to Start – Learn More If you're looking for more flexibility, the Custom Design in JMP can handle various experimental situations, including screening, optimization, and mixture problems, even with hard-to-change factors. The most important thing is that you don't need to know which design to use prior to designing your experiments. You just have to add your factors(input) your responses(output) and interaction or power terms (depending on what you are searching to find). This brief video provides a great introduction: Custom DoE Overview – Watch Here For a more in-depth look, this three-part workshop series offers great examples of how to use DoE effectively: Getting Started with Design of Experiments – Access Here Since Definitive Screening Designs (DSD) came up in our discussion, here’s a great article from Bradley Jones on when (and when not) to use them: Proper & Improper Use of DSDs – Read Here Please feel free to reach out with any questions.   Spyros ... View more