Multiplying the likelihood in part (d) by the Haldane prior gives . ConsequentlyFor at least one hospital, , this posterior is proper exactly when . If every count is zero, the kernel diverges at and does not define a posterior distribution; the improper prior cannot then be used for the subsequent expectation.
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