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Fitting multivariate responses using scalar trees

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  • Jesús Barcena, María
  • Tusell, Fernando
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    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.

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    Bibliographic Info

    Article provided by Elsevier in its journal Statistics & Probability Letters.

    Volume (Year): 69 (2004)
    Issue (Month): 3 (September)
    Pages: 253-259

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    Handle: RePEc:eee:stapro:v:69:y:2004:i:3:p:253-259

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    Related research

    Keywords: File completion Imputation Regression and classification trees;

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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, vol. 26(3), pages 361-379, December.

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