IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01152263.html
   My bibliography  Save this paper

Arbres de régression et de classification (CART)

Author

Listed:
  • Olivier Lopez

    () (Laboratoire de Finance et d'Assurance - CREST-INSEE - Centre de Recherche en Economie et en Statistique - Institut national de la statistique et des études économiques (INSEE))

  • Xavier Milhaud

    (Laboratoire de Finance et d'Assurance - CREST-INSEE - Centre de Recherche en Economie et en Statistique - Institut national de la statistique et des études économiques (INSEE))

  • Pierre-Emmanuel Thérond

    () (SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon, Galea & Associés)

Abstract

Ces outils fournissent de nouvelles méthodes pour répondre aux problématiques des assureurs, notamment pour l'analyse des comportements des assurés et des prospects. Ils permettent de construire des classes de risques.

Suggested Citation

  • Olivier Lopez & Xavier Milhaud & Pierre-Emmanuel Thérond, 2015. "Arbres de régression et de classification (CART)," Post-Print hal-01152263, HAL.
  • Handle: RePEc:hal:journl:hal-01152263
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01152263
    as

    Download full text from publisher

    File URL: https://hal.archives-ouvertes.fr/hal-01152263/document
    Download Restriction: no

    More about this item

    Keywords

    big data; assurance; régression non-paramétrique; CART; mégadonnées;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01152263. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.