Hostname: page-component-77c89778f8-n9wrp Total loading time: 0 Render date: 2024-07-18T06:34:36.347Z Has data issue: false hasContentIssue false

On the limiting normality of posterior distributions

Published online by Cambridge University Press:  24 October 2008

A. P. Dawid
Affiliation:
Imperial College, London

Extract

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.

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1970

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

(1)Johnson, R. A.An asymptotic expansion for posterior distributions. Ann. Math. Statist. 38, 6, 18991906.Google Scholar
(2)Le Cam, L.Les propriétés asymptotiques des solutions de Bayes. Publ. Inst. Statist. Univ. Paris, 7, 1735.Google Scholar
(3)Walker, A. M.On the asymptotic behaviour of posterior distributions. J. Roy. Statist. Soc. Ser. B., 31 (1969), 8088.Google Scholar