Dear all, We are pleased to announce our upcoming online course, Bayesian Causal Networks in R, taking place from 7?11 September. Bayesian causal networks are a powerful approach to explore complex systems and make data-driven decisions under uncertainty. In this course, you will combine theory with hands-on practice in R to design, estimate, and interpret causal models using real and simulated data. Across five interactive sessions, participants will build and evaluate multivariate networks, perform inference and sensitivity analyses, and learn how to communicate uncertainty effectively. This course is particularly suited to advanced students, early-stage Ph.D. candidates, and professionals working with ecological, environmental, or other data-rich systems. A basic familiarity with R and probability concepts is recommended to fully benefit from the course. For more information and registration, please visit our website: [ https://www.physalia-courses.org/courses-workshops/bayesian-netwok/ ]( https://www.physalia-courses.org/courses-workshops/bayesian-netwok/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info at physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ )
Bayesian Causal Networks in R course
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