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Importance des variables dans les methodes CART

Author

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  • Ghattas, B.

Abstract

CART est une des rares techniques non parametriques permettant d'etablir une hierarchie des variables explicatives. Dans cet article nous decrivons le calcul de l'importance des variables a partir d'un arbre de regression et nous analysons un exemple de hierarchie de variables explicatives utilisees dans le cadre de la prevision des pics d'ozone dans les Bouches-du-Rhone.

Suggested Citation

  • Ghattas, B., 2000. "Importance des variables dans les methodes CART," G.R.E.Q.A.M. 00b04, Universite Aix-Marseille III.
  • Handle: RePEc:fth:aixmeq:00b04
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    More about this item

    Keywords

    REGRESSIONS ; HIERARCHIE ; PREVISIONS;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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