Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering
Imputation (statistics)
Lexicographical order
DOI:
10.1007/s00357-009-9038-8
Publication Date:
2010-01-06T13:09:51Z
AUTHORS (2)
ABSTRACT
In the framework of incomplete data analysis, this paper provides a nonparametric approach to missing data imputation based on Information Retrieval. In particular, an incremental procedure based on the iterative use of tree-based method is proposed and a suitable Incremental Imputation Algorithm is introduced. The key idea is to define a lexicographic ordering of cases and variables so that conditional mean imputation via binary trees can be performed incrementally. A simulation study and real data applications are carried out to describe the advantages and the performance with respect to standard approaches.
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