chapter 1 Bayesian Methods for Complex Data: Estimation and Inference -- chapter 2 Model Fit, Comparison, and Checking -- chapter 3 Hierarchical Estimation for Exchangeable Units: Continuous and Discrete Mixture Approaches -- chapter 4 Structured Priors Recognizing Similarity over Time and Space -- chapter 5 Regression Techniques Using Hierarchical Priors -- chapter 6 Bayesian Multilevel Models -- chapter 7 Multivariate Priors, with a Focus on Factor and Structural Equation Models -- chapter 8 Hierarchical Models for Panel Data -- chapter 9 Survival and Event History Models -- chapter 10 Hierarchical Methods for Nonlinear Regression.