Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis
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Consider a Bayesian setup in which we observe Y , whose distribution depends on a parameter θ , that is, Y ∣ θ ~ π Y ∣ θ . The parameter θ is unknown and treated as random, and a prior distribution chosen from some para... ...