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Data Fusion for Errors-in-Variables

arXiv:2610.07048v1 Announce Type: new Abstract: We study errors-in-variables problems in which a target study contains only a single error-prone surrogate of an unobserved exposure, while an external source study provides repeated surrogate measurements from a different population. The measurement…

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  1. 2026-10-07 04:00 · arXiv stat.ML
    Data Fusion for Errors-in-Variables

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