Question: 1.37 Consider the Bayesian equal-tail posterior interval for a binomial parameter , using a beta or logit-normal prior. When y = 0, explain why the

1.37 Consider the Bayesian equal-tail posterior interval for a binomial parameter π, using a beta or logit-normal prior. When y = 0, explain why the lower limit for a can never be 0, unlike the frequentist approach based on inverting a score or likelihood-ratio test.

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