Missing Data Imputation within the Statistical learning Paradigm

Abstract

In the framework of missing data imputation, Rubin [7] formalized three types of missing data mechanisms upon definition of a missing data indicator matrix pointing out the missing-ness in the data matrix, assigning it a random variable with a conditional probability distribution given the data matrix depending on unknown parameters. Within Rubin’s paradigm… (More)

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