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Bayesian identification of semi-parametric binary response models

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  • MOUCHART, Michel

    ()
    (CORE and Institut de statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium)

  • ROLIN, Jean-Marie

    ()
    (CORE and Institut de statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium)

  • SCHEIHING, Eliana

    (Instituto de Informatica, Universidad Austral de Chile)

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    Abstract

    In this paper, minimal conditions under which a semi-parametric binary response model is identified in a Bayesian framework are presented and compared to the conditions usually required in a sampling theory framework.

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    Bibliographic Info

    Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 1998024.

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    Date of creation: 24 Apr 1998
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    Handle: RePEc:cor:louvco:1998024

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    Related research

    Keywords: Binary response models; Non parametric Bayesian Statistics; Dirichlet processes; Identification;

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    1. Florens, J.P. & Rolin, J.M., 1994. "Bayes, Bootsrap, Moments," Papers 94.336, Toulouse - GREMAQ.
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