Preceding chapter:Bayesian inference Preceding chapter:Bayesian approach to inference. Unknown parameters are modeled as random variables. Work within a single,fully-specified probabilistic model. Compute posterior distribution by judicious application of Bayes'rule.Preceding chapter: Bayesian inference  Preceding chapter: Bayesian approach to inference.  Unknown parameters are modeled as random variables.  Work within a single, fully-specified probabilistic model.  Compute posterior distribution by judicious application of Bayes' rule