ABSTRACT
Our first detailed discussion of Bayesian inference is in the context of statistical models where only a single scalar pa rameter is to be estimated; that is, the estimand θ is onedimensional. In this chapter, we consid er four fundamental and widely used onedimensional models-the binomial, normal, Poisson, and exponential-and at the same time introduce important concep ts and computational methods for Bayesian data analysis.
