Bayesian Multilevel Modeling

In this chapterfrom empirical Bayes to full Bayes; priors for variance components; Markov chain Monte Carlo and Stan; fitting and checking the HSB models in brms; Bayesian and REML estimates with many and with few schools; model comparison and posterior predictive checks; when Bayesian estimation earns its cost; reporting.