Advance Your Ecological Research with Bayesian Multilevel Modelling Take your data analysis to the next level with this hands-on course:
Bayesian Multilevel Modelling using brms for Ecologists (BMME02) <https://prstats.org/course/bayesian-multilevel-modelling-using-brms-for-ecologists-bmme02/> This 5-day live, online workshop is designed by ecologists, for ecologists who want to master the use of Bayesian approaches for complex, hierarchical data. You’ll gain the practical skills and confidence to apply brms in R to real ecological datasets, exploring topics such as GLMs, GLMMs, hierarchical and zero-inflated models. What you’ll learn: - Core principles of Bayesian inference — priors, posteriors, and credible intervals - How to fit and interpret multilevel models using the brms package - Best practices for model checking, residual diagnostics, and visualization - Techniques to handle zero-inflated and overdispersed ecological data - How to apply these models directly to your own research questions Whether you’re studying population dynamics, biodiversity patterns, or ecological processes, this course will equip you with cutting-edge statistical tools for transparent, reproducible science. Spaces are limited — secure your spot today and transform how you model ecological data! Register here <https://prstats.org/course/bayesian-multilevel-modelling-using-brms-for-ecologists-bmme02/> Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
