When Is a Sensitivity Parameter Exactly That?
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...
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| Veröffentlicht in: | Statistical science 2018-02, Vol.33 (1), p.86-95 |
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| container_end_page | 95 |
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| container_title | Statistical science |
| container_volume | 33 |
| creator | Gustafson, Paul McCandless, Lawrence C. |
| description | 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. |
| doi_str_mv | 10.1214/17-STS632 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0883-4237 |
| ispartof | Statistical science, 2018-02, Vol.33 (1), p.86-95 |
| issn | 0883-4237 2168-8745 |
| language | eng |
| recordid | cdi_proquest_journals_2008883783 |
| source | Jstor Complete Legacy; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Project Euclid Complete; JSTOR Mathematics & Statistics |
| subjects | Bayesian analysis Diagnostic systems General Section Parameter estimation Parameter sensitivity Sensitivity analysis |
| title | When Is a Sensitivity Parameter Exactly That? |
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