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Biometrika 1992 79(1):51-55; doi:10.1093/biomet/79.1.51
© 1992 by Biometrika Trust
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A graphical case statistic for assessing posterior influenceo

ROBERT E. WEISS and R. DENNIS COOK

1Department of Biostatistics, UCLA School of Public Health Los Angeles, California 90024-1772, U.S.A.
2Department of Applied Statistics, University of Minnesota St. Paul, Minnesota 55108, U.S.A.

A single number summary of the influence of an observation on the posterior of the parameter of interest is useful, but does not convey all aspects of the effect of deleting the observation. We propose a plot that does convey all the effects of an observation on the posterior.

Key Words: Bayesian data analysis • Bayes's theorem • Dynamic graphics • Influential observations


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