Tree-Growing for the Multivariate Model: The RECPAM Approach

  • Antonio Ciampi
  • Lisa Hendricks
  • Zhiyi Lou


The RECPAM approach is applied to the multivariate normal model. Tree-structured predictors are built for the multivariate mean, the correlation matrix and regression coefficients representing a treatment-outcome relationship. Several cases of special interest are discussed.


Regression Tree Nuisance Parameter Multivariate Normal Distribution RECursive Partition Admissibility Condition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Antonio Ciampi
    • 1
  • Lisa Hendricks
    • 1
  • Zhiyi Lou
    • 1
  1. 1.Department of Epidemiology and BiostatisticsMcGill UniversityMontrealCanada

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