Convergence in models of misspecified learning

DOI10.3982/TE3558zbMath1477.62370OpenAlexW3124212446MaRDI QIDQ5164449

Botond Kőszegi, Philipp Strack, Paul Heidhues

Publication date: 11 November 2021

Published in: Theoretical Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3982/te3558

zbMATH Keywords

convergenceBayesian learningmisspecified modelBerk-Nash equilibrium

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Asymptotic properties of nonparametric inference (62G20) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Learning with misattribution of reference dependence ⋮ Mislearning from censored data: The gambler's fallacy and other correlational mistakes in optimal‐stopping problems ⋮ A multi-agent model of misspecified learning with overconfidence ⋮ Pathwise concentration bounds for Bayesian beliefs ⋮ Asymptotic behavior of Bayesian learners with misspecified models

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