duction to Bayesian data analysis. It is conceptual in nature, but uses the probabilistic programming language Stan for demonstration (and its implementation in R via rstan). From elementary examples, guidance is provided for data preparation, efficient modeling, diagnostics, and more." />

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  <meta name="twitter:title" content="Chapter 9 Final Thoughts | Bayesian Basics" />
  
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