Dear all, We’re excited to announce a new online course: Applied Bayesian Modelling with R-INLA: A Hands-on Introduction Dates: online, 27–31 October Daily live sessions: 14:00–18:00 CET This four-day course offers a practical and accessible introduction to Bayesian modelling using R-INLA. Starting from the basics of Bayesian inference, the course explores the INLA methodology and its advantages over traditional MCMC methods, with a focus on latent Gaussian models. Participants will learn to fit and interpret a variety of models — including linear models, GLMs, GAMs, and GLMMs — using INLA. Emphasis is placed on hands-on exercises and working with the inla model object to extract, summarise, and visualise posterior distributions. This course is ideal for students, researchers, data scientists, and applied statisticians who are new to INLA or seeking a deeper understanding. No prior experience with Bayesian statistics is required. Full course details and registration:[ https://www.physalia-courses.org/courses-workshops/r-inla/ ]( https://www.physalia-courses.org/courses-workshops/r-inla/ ) Best regards, Carlo
-------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/