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Assumption-lean logistic regression with missing covariates

arXiv:2610.07292v1 Announce Type: new Abstract: Missing covariates are frequently encountered in supervised learning problems, and classical methods for estimation using such data use carefully chosen imputation schemes for missing data, or likelihood approximations that lead to nonconvex $M$-estim…

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  1. 2026-10-07 04:00 · arXiv stat.ML
    Assumption-lean logistic regression with missing covariates

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