Papers/2608.16925
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Detecting and Discriminating Operator Misspecification in Hybrid PDE-Parameter Learning: a Reference-Free Instrument, with Discrimination Bounded In Sample

Author1, Author2, Author3, Author4, Author5

parameter estimationPDE learningmodel validationneural networks
2608.16925
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2h ago

Abstract

The paper presents a novel instrument for detecting operator misspecification in hybrid PDE-parameter estimators without relying on oracle information.

Reality Card

Core Claim

The instrument successfully distinguishes between operator misspecification and unidentifiable parameters in hybrid PDE-parameter learning.

Method / Result

The information-matrix statistic has a median of 0.19 under correct specification and rises to 224 under misspecifications.

Limitations

The instrument is blind to certain conditions, particularly where a neural estimator fails to outperform traditional methods.

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