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https://ideas.repec.org/p/fip/fedpwp/06-4.html Monetary policy analysis with potentially misspecified models Downloadable! The paper proposes a novel method for conducting policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE)... monetary policy analysis potentially models https://openreview.net/forum?id=CQuRzAgjg9 Online Clustering of Bandits with Misspecified User Models | OpenReview The contextual linear bandit is an important online learning problem where given arm features, a learning agent selects an arm at each round to maximize the... online clustering bandits user models https://arxiv.org/abs/2502.07104v2 [2502.07104v2] Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials Abstract page for arXiv paper 2502.07104v2: Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials uncertainty quantification machine learned potentials https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5119 Misspecified Cramer-Rao Bound For Delay Estimation With A Mismatched Waveform: A Case Study | IEEETV In this paper we investigate the problem of time of arrival estimation which occurs in many real-world applications, such as indoor localization or... https://eric.ed.gov/?id=EJ1045282 ERIC - EJ1045282 - Seeing Perfectly Fitting Factor Models That Are Causally Misspecified:... Researchers using factor analysis tend to dismiss the significant ill fit of factor models by presuming that if their factor model is close-to-fitting, it is... factor models eric seeing perfectly fitting