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