Prior & Posterior Predictive Checking – Practice Quiz

Use simulated data to examine the implications of Bayesian models. Practice prior and posterior predictive simulation, targeted discrepancy selection, variance decomposition, hierarchical replication and sensitivity analysis. Prerequisites: posterior simulation, conditional expectation, basic count models and introductory hierarchical modeling. Scenarios distinguish model checking, predictive validation and individual-outcome uncertainty. Single-select and multiselect practice includes worked explanations and distractor rationales.

Study sources: Stan: Prior and Posterior Predictive Checks.

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