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Probab. Lett.</a> <a href="/?q=in%3A21472" title="Articles in this Issue">20, No. 4, 287-294 (1994)</a>. </div> <div class="abstract">Summary: We consider the problem of measuring Bayesian robustness of classes of contaminated priors. Two classes of priors in the neighborhood of the elicited prior are considered: one is the usual \(\varepsilon\)- contaminated class and the other one is a geometric mixing class. A global measure, using \(\varphi\)-divergence of the posterior distribution and its curvature, is introduced. Calculation of ranges of the curvatures are demonstrated through examples. It is shown that the curvature formulas give unified answers irrespective of the choice of the \(\varphi\)-functions. It is also observed that the variation of the posterior divergence measures and their curvature are especially useful for multidimensional problems.</div> <div class="clear"></div> <br> <div class="citations"><div class="clear"><a href="/?q=rf%3A633492">Cited in <strong>34</strong> Documents</a></div></div> <div class="classification"> <h3>MSC:</h3> <table><tr> <td> <a class="mono" href="/classification/?q=cc%3A62A01" title="MSC2020">62A01</a> </td> <td class="space"> Foundations and philosophical topics in statistics </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A62B10" title="MSC2020">62B10</a> </td> <td class="space"> Statistical aspects of information-theoretic topics </td> </tr></table> </div><div class="keywords"> <h3>Keywords:</h3><a href="/?q=ut%3Aepsilon-contamination+classes+of+priors">epsilon-contamination classes of priors</a>; <a href="/?q=ut%3Ageometric+contamination">geometric contamination</a>; <a href="/?q=ut%3Aphi-+divergence+measures">phi- divergence measures</a>; <a href="/?q=ut%3ABayesian+robustness">Bayesian robustness</a>; <a href="/?q=ut%3Aelicited+prior">elicited prior</a>; <a href="/?q=ut%3Ageometric+mixing+class">geometric mixing class</a>; <a href="/?q=ut%3Acurvature">curvature</a>; <a href="/?q=ut%3Aexamples">examples</a>; <a href="/?q=ut%3Aposterior+divergence+measures">posterior divergence measures</a></div> <!-- Modal used to show zbmath metadata in different output formats--> <div class="modal fade" id="metadataModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">Cite</h4> </div> <div class="modal-body"> <div class="form-group"> <label for="select-output" class="control-label">Format</label> <select id="select-output" class="form-control" aria-label="Select Metadata format"></select> </div> <div class="form-group"> <label for="metadataText" class="control-label">Result</label> <textarea class="form-control" id="metadataText" rows="10" style="min-width: 100%;max-width: 100%"></textarea> </div> <div id="metadata-alert" class="alert alert-danger" role="alert" style="display: none;"> <!-- alert for connection errors etc --> </div> </div> <div class="modal-footer"> <button type="button" class="btn btn-primary" onclick="copyMetadata()">Copy to clipboard</button> <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> </div> </div> </div> </div> <div class="functions clearfix"> <div class="function"> <!-- Button trigger metadata modal --> <a type="button" class="btn btn-default btn-xs pdf" data-toggle="modal" data-target="#metadataModal" data-itemtype="Zbl" data-itemname="Zbl 0799.62003" data-ciurl="/ci/00633492" data-biburl="/bibtex/00633492.bib" data-amsurl="/amsrefs/00633492.bib" data-xmlurl="/xml/00633492.xml" > Cite </a> <a class="btn btn-default btn-xs pdf" data-container="body" type="button" href="/pdf/00633492.pdf" title="Zbl 0799.62003 as PDF">Review PDF</a> </div> <div class="fulltexts"> <span class="fulltext">Full Text:</span> <a class="btn btn-default btn-xs" type="button" href="https://doi.org/10.1016/0167-7152(94)90016-7" aria-label="DOI for “Robust Bayesian analysis using divergence measures”" title="10.1016/0167-7152(94)90016-7">DOI</a> </div> <div class="sfx" style="float: right;"> </div> </div> <div class="references"> <h3>References:</h3> <table><tr> <td>[1]</td> <td class="space">Atkinson, A. 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K., On measuring Bayesian robustness of contaminated classes of priors, Statist. Decisions, 9, 63-80 (1991) · <a href="/0749.62007" class="nowrap">Zbl 0749.62007</a></td> </tr><tr> <td>[14]</td> <td class="space">Goel, P., Information measures and Bayesian hierarchical models, J. Amer. Statist. Assoc., 78, 408-410 (1983) · <a href="/0528.62005" class="nowrap">Zbl 0528.62005</a></td> </tr><tr> <td>[15]</td> <td class="space">Goel, P., (Gupta, S. S.; Berger, J. O., Comparison of experiments and information in censored data. Comparison of experiments and information in censored data, Stat. Dec. and Related Topics IV, 2 (1986)), 335-349 · <a href="/0681.62012" class="nowrap">Zbl 0681.62012</a></td> </tr><tr> <td>[16]</td> <td class="space">Huber, P. 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