On the limiting normality of posterior distributions

A. P. Dawid

doi:10.1017/S0305004100045953

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1. Introduction. Suppose that we wish to make inferences about an unknown real parameter θ, and that we have a random sample of observations (Xl, X2, …, Xn) from a distribution which depends on θ.

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