Imputation using markov chains
Journal of Statistical Computation and SimulationPublished 1 August 1988
Kim-hung Li
Citations116
SJR quartileQ2
SJR score0.55
SNIP1.12
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TL;DR
In this paper, an iterative imputation procedure, based on the idea of Markov chain, is proposed, and examples are presented to illustrate its applications.
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.
Keywords
Computer Science
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