Preceding chapter:Bayesian inference Preceding chapter:Bayesian approach to inference. Unknown parameters are modeled as random variables. a 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