Bayesian inference always starts from a statistical model, i.e., a set of statistical hypotheses. While the general pattern of inference is the same, we treat models with a finite number and a continuum of hypotheses separately and draw parallels with hypothesis testing and estimation, respectively. The exposition is mostly based on Press 2002, Howson and Urbach 2006, Gelman et al 2013, and Earman 1992.