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When Is a Sensitivity Parameter Exactly That?
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DOI：10.1214/17-STS632.png)
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Abstract
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Sensitivity analysis is used widely in statistical work. Yet the notion and properties of sensitivity parameters are often left quite vague and intuitive. Working in the Bayesian paradigm, we present a definition of when a sensitivity parameter is pure, and we discuss the implications of a parameter meeting or not meeting this definition. We also present a diagnostic with which the extent of violations of purity can be visualized.
Keywords:
Bayesian inference
misclassification
missing data
selection bias
sensitivity analysis
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