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A Primer on Bayesian Methods, Part I

We discuss the concept of subjective probability and how it relates to statistical inference via Bayes rule. We show how Bayesian inference works in some standard situations, such as two-sample inference, hierarchical models, regression analysis and model selection. We discuss Bayesian and non-Bayesian motivations for using Bayesian procedures. Finally, we discuss some limitations of Bayesian procedures.

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