Abstract
Broadly speaking, imputation means filling in incomplete values. A theoretically sound method is to impute the incomplete values through sampling from their predictive distribution. In this paper, an iterative imputation procedure, based on the idea of Markov chain, is proposed. Examples are presented to illustrate its applications.