I'm interested in the criticism of the priors, because while it's valid I think one of the strengths of Bayesian statistics is that it makes the priors explicit and hence capable of criticism, whereas most other approaches don't discuss them at all, although they're there.
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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@Noahpinion, you were the "economist" mentioned in this post weren't you? https://statmodeling.stat.columbia.edu/2018/03/24/economist-wrote-asking-make-sense-fit-bayesian-hierarchical-models-instead-frequentist-random-effects/ … - End of conversation
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