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#20 Regression and Other Stories, with Andrew Gelman, Jennifer Hill & Aki Vehtari

Learning Bayesian Statistics

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Navigating Uncertainty in Statistical Analysis

This chapter explores the intricacies of statistical significance and p-values, shedding light on the emotional debates surrounding these concepts. It critiques the common reliance on weaker priors in regression analysis and reflects on the authors' own efforts to reconcile classical and Bayesian statistical methods.

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