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Applied Bayesian Analysis
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Notes
Ch0 – Introduction
Ch1 – Basics
Ch2 – Priors
Ch3 – Computing
Ch4 – Linear models
Ch5 – Hypothesis testing
Ch6 – Model selection
Ch7 – Hierarchical models
Ch8 – Machine learning
Ch9 – Properties
Derivations