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July 1, 1985Journal of the Royal Statistical Society Series B (Statistical Methodology)158 citations

On Asymptotic Normality of Limiting Density Functions with Bayesian Implications

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CCChan-Fu Chen

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Abstract

SUMMARY Precise statements of three basic conditions for the asymptotic normality of limiting density functions are given. In the Bayesian context, these conditions as a whole provide a greater generality and more operational flexibility for asymptotic posterior normality than those assumed by previous investigators.

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Chan-Fu Chen (1985) studied this question.

synapsesocial.com/papers/6a203bd68438744616d8e36chttps://doi.org/10.1111/j.2517-6161.1985.tb01384.x
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1On the limiting normality of posterior distributions1970 · 49 citations
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  3. 3An Asymptotic Expansion for Posterior Distributions1967 · 66 citations
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