Dear all, registration is now open for the course "Next steps in applied Bayesian regression modeling" Dates: Online, 27th-31st of March Course website: [ https://www.physalia-courses.org/courses-workshops/bayes-regression/ ]( https://www.physalia-courses.org/courses-workshops/bayes-regression/ ) Instructor: [ Prof. Michael Franke (University of Tübingen, Germany) ]( https://michael-franke.github.io/heimseite/ ) This course provides an overview over a number of topics and tools that are not (usually) covered by introductory courses, but that will boost your understanding, productivity and confidence when applying Bayesian regression modeling. The purpose of this course is not exhaustive depth, but guided overview. The goal is to provide enough information (focusing on the conceptual understanding, not mathematical detail) alongside practical examples, to put all participants in a position to learn something new and useful about topics they were already familiar with, to unlock new areas that they heard of but wanted to learn more about, and also to raise awareness for useful ideas and tools that weren't even on the radar of awareness before.
The course also contains interactive practice sessions during which participants can bring up their own concrete use cases and question sets. Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org mobile: +49 17645230846 Follow us on [ Twitter ]( https://twitter.com/Physacourses ) & [ Mastodon ]( https://mas.to/@PhysaliaCourses ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
