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November 2016 Issues in Robustness Analysis
Michael Goldstein
Statist. Sci. 31(4): 503-505 (November 2016). DOI: 10.1214/16-STS563

Abstract

How may we develop methods of analysis which address the consequences of the mismatch between the formal structural requirements of Bayesian analysis and the actual assessments that are carried out in practice? A paper by Watson and Holmes provides an overview of methods developed to address such issues and makes suggestions as to how such analyses might be carried out. This article adds commentary on the principles and practices which should guide us in such problems.

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Michael Goldstein. "Issues in Robustness Analysis." Statist. Sci. 31 (4) 503 - 505, November 2016. https://doi.org/10.1214/16-STS563

Information

Published: November 2016
First available in Project Euclid: 19 January 2017

zbMATH: 06946241
MathSciNet: MR3598729
Digital Object Identifier: 10.1214/16-STS563

Keywords: axiomatics , Coherence , robustness

Rights: Copyright © 2016 Institute of Mathematical Statistics

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Vol.31 • No. 4 • November 2016
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