Name: Introduction to Bayesian Modeling - The posterior model
Uploaded: 2020-09-02T00:00:00Z
Description: Bayesian models combine prior insights with insights from observed data to form updated, posterior insights about a parameter. In this chapter, you will review these Bayesian concepts in the context of the foundational Beta-Binomial model for a proportion parameter. You will also learn how to use the rjags package to define, compile, and simulate this model in R.