PSD kernel densities give a convex MCAR imputer with closed-form marginals, KL consistency rates that adapt to smoothness, and competitive energy-distance performance on small real tables.
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Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation
PSD kernel densities give a convex MCAR imputer with closed-form marginals, KL consistency rates that adapt to smoothness, and competitive energy-distance performance on small real tables.