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Journal of Statistical Computation and Simulation Volume 30, 1988 - Issue 1
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Original Articles

Imputation using markov chains

Kim–Hung Li Department of Statistics, The Chinese University of Hong Kong, Hong Kong
Pages 57-79 | Received 07 Oct 1987, Published online: 20 Mar 2007
 
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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.

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