This course provides a theoretical and practical introduction to Bayesian hierarchical, i.e., multilevel and latent variable modeling. Students will engage with the foundations of the Bayesian approach, understand the utility of multilevel and latent variable models, learn how to programme, fit and evaluate such models using the modern probabilistic programming language Stan, get a glimpse at the underlying machinery and practice applying this knowledge to analyse various research questions.
This course is for 2nd year MIA, MPP and MDS students only.
