Bayesian identification of semi-parametric binary response models

Michel Mouchart (michel.mouchart@uclouvain.be), Jean-Marie Rolin (jean-marie.rolin@uclouvain.be) and Eliana Scheihing
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Michel Mouchart: CORE and Institut de statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Jean-Marie Rolin: CORE and Institut de statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Eliana Scheihing: Instituto de Informatica, Universidad Austral de Chile

No 1998024, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

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.

Keywords: Binary response models; Non parametric Bayesian Statistics; Dirichlet processes; Identification (search for similar items in EconPapers)
Date: 1998-04-24
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1998024

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