Nonparametric Imputation by Data Depth
Nonparametric Imputation by Data Depth
We present single imputation method for missing values which borrows the idea of data depth—a measure of centrality defined for an arbitrary point of a space with respect to a probability distribution or data cloud. This consists in iterative maximization of the depth of each observation with missing values, and …