BEGIN:VCALENDAR
PRODID:-//Grails iCalendar plugin//NONSGML Grails iCalendar plugin//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260430T191405Z
DTSTART;TZID=America/Chicago:20241206T154500
DTEND;TZID=America/Chicago:20241206T164500
SUMMARY:What Is the Epistemic Import of Derivational Robustness?
UID:20260502T013938Z-iCalPlugin-Grails@philevents-web-6b96c54f56-bljdq
TZID:America/Chicago
LOCATION:Auburn\, United States
DESCRIPTION:<p><em>Derivational robustness</em> occurs if and only if there is agreement among each model in an ensemble of models concerning the truth of some proposition. We show that a recent and prominent Bayesian defense of robustness analysis faces substantial obstacles. In doing so\, we argue against the widely-held view that measurement robustness&mdash\;i.e.\, agreement among multiple measurements of a quantity&mdash\;has epistemic credentials that are similar to those of derivational robustness.</p>\n\n
ORGANIZER;CN=Elay Shech;CN=Alison Springle:
METHOD:PUBLISH
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