22. Advanced regression and multilevel models

22.1 Expressing the models so far in a common framework

22.2 Incomplete data

22.3 Correlated errors and multivariate models

22.4 Regularization for models with many predictors

22.5 Multilevel or hierarchical models

22.6 Nonlinear models, a demonstration using Stan

22.7 Nonparametric regression and machine learning

22.8 Computational efficiency

22.9 Bibliographic note

22.10 Exercises