Bayesian Workflow | Statistics
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Bayesian statistics and statistical practice have evolved over the years driven by advancements in theory methods and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development the book seeks to improve applied analyses and inspire future innovations in theory methods and software. It emphasizes the importance of iterative model building model checking computational troubleshooting and simulated-data experimentation offering a comprehensive perspective on statistical analysis. Through detailed example…
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