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Berger, J.O. (1990) Robust Bayesian Analysis: Sensitivity to the Prior. Journal of Statistical Planning and Inference, 25, 303-328.
http://dx.doi.org/10.1016/0378-3758(90)90079-A

has been cited by the following article:

• TITLE: Some Likelihood Based Properties in Large Samples: Utility and Risk Aversion, Second Order Prior Selection and Posterior Density Stability

  AUTHORS: Michael Brimacombe

  KEYWORDS: Arrow-Pratt Theorem, Expected Utility, Information Similar Priors, Likelihood Function, Prior Stability, Score Function, Risk Aversion

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.6, December 2, 2016

  ABSTRACT: The likelihood function plays a central role in statistical analysis in relation to information, from both frequentist and Bayesian perspectives. In large samples several new properties of the likelihood in relation to information are developed here. The Arrow-Pratt absolute risk aversion measure is shown to be related to the Cramer-Rao Information bound. The derivative of the log-likelihood function is seen to provide a measure of information related stability for the Bayesian posterior density. As well, information similar prior densities can be defined reflecting the central role of likelihood in the Bayes learning paradigm.