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Bayesian identification of semi-parametric binary response models


  • 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)


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.

Suggested Citation

  • MOUCHART, Michel & ROLIN, Jean-Marie & SCHEIHING, Eliana, 1998. "Bayesian identification of semi-parametric binary response models," CORE Discussion Papers 1998024, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:1998024

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    References listed on IDEAS

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