Weak consistency of the 1-nearest neighbor measure with applications to missing data

6 Feb 2019James Sharpnack

When data is partially missing at random, imputation and importance weighting are often used to estimate moments of the unobserved population. In this paper, we study 1-nearest neighbor (1NN) importance weighting, which estimates moments by replacing missing data with the complete data that is the nearest neighbor in the non-missing covariate space... (read more)

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