For fixed prior parameters, divide numerator and denominator by :under independent sampling from a geometric distribution with true success probability . The law of large numbers gives . In a large finite sample the posterior mean is close to , the maximum-likelihood estimate. The fixed prior's influence vanishes, and the estimate is consistent.
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