An inverse-probability-weighted Dirichlet kernel density estimator on the simplex is asymptotically normal under MAR missingness, with bias matching full-data Dirichlet KDE and variance inflated by a propensity factor.
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Dirichlet kernel density estimation on the simplex with missing data
An inverse-probability-weighted Dirichlet kernel density estimator on the simplex is asymptotically normal under MAR missingness, with bias matching full-data Dirichlet KDE and variance inflated by a propensity factor.