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Bayesian identification of semi-parametric binary response models

Author

Listed:
  • 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)

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.

Suggested Citation

  • MOUCHART, Michel & ROLIN, Jean-Marie & SCHEIHING, Eliana, 1998. "Bayesian identification of semi-parametric binary response models," LIDAM Discussion Papers CORE 1998024, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1998024
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp1998.html
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    References listed on IDEAS

    as
    1. FLORENS, Jean-Pierre & MOUCHART, Michel & ROLIN, Jean-Marie, 1992. "Bayesian analysis of mixtures: Some results on exact estimability and identification," LIDAM Reprints CORE 1005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Florens, J.P. & Rolin, J.M., 1994. "Bayes, Bootsrap, Moments," Papers 94.336, Toulouse - GREMAQ.
    3. ROLIN, Jean-Marie, 1992. "Some useful properties of the Dirichlet process," LIDAM Discussion Papers CORE 1992007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Rolin, J.M., 1992. "Some Useful Properties on the Dirichlet Process," Papers 9202, Catholique de Louvain - Institut de statistique.
    Full references (including those not matched with items on IDEAS)

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