Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach. This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.