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Fitting multivariate responses using scalar trees

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  • Jesús Barcena, María
  • Tusell, Fernando

Abstract

We describe an algorithm for the fitting of multivariate responses using classification and regression trees, named the intersection-seeking algorithm. Although motivated by problems of record linkage and imputation of missing values in surveys, the algorithm may be used in other contexts.

Suggested Citation

  • Jesús Barcena, María & Tusell, Fernando, 2004. "Fitting multivariate responses using scalar trees," Statistics & Probability Letters, Elsevier, vol. 69(3), pages 253-259, September.
  • Handle: RePEc:eee:stapro:v:69:y:2004:i:3:p:253-259
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    Cited by:

    1. Claudio Conversano & Roberta Siciliano, 2009. "Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering," Journal of Classification, Springer;The Classification Society, vol. 26(3), pages 361-379, December.

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