Multivariate data imputation using trees.

• Autores: Fernando Jorge Tusell Palmer, María Jesús Bárcena Ruiz
• Localización: Documentos de Trabajo BILTOKI, ISSN-e 1134-8984, Nº. 5, 2002
• Idioma: inglés
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• Resumen

  • We address the problem of completing two files with records containing a fully observed common subset of variables. The tecnique investigated involves the use of regression and/or classification trees. An extension of current methodology (the intersection-seeking or ``forest-climbing'' algorithm) is proposed to deal with multivariate response variables. The method is demonstrated and shown to be feasible and have some desirable properties.