Chapter 4 Balance and Sequentiality in Bayesian Analyses

Learning objectives:

• Explore the balanced influence of the prior and data on the posterior. You will see how our choice of prior model, the features of our data, and the delicate balance between them can impact the posterior model.

• Perform sequential Bayesian analysis. You will explore one of the coolest features of Bayesian analysis: how a posterior model evolves as it’s updated with new data.