Optimal decisions under combined prior ambiguity and likelihood misspecification coincide with those under correct specification for estimation and treatment assignment, regardless of misspecification degree.
The Purpose of an Estimator is What it Does: Misspecification, Estimands, and Over-Identification
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You've Got to be Efficient: Ambiguity, Misspecification and Variational Preferences
Optimal decisions under combined prior ambiguity and likelihood misspecification coincide with those under correct specification for estimation and treatment assignment, regardless of misspecification degree.