Bayesian identification of semi-parametric binary response models

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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Year of publication:	1998-04-24
Authors:	MOUCHART, Michel ; ROLIN, Jean-Marie ; SCHEIHING, Eliana
Institutions:	Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain
Subject:	Binary response models \| Non parametric Bayesian Statistics \| Dirichlet processes \| Identiﬁcation

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Extent:	application/pdf
Series:	CORE Discussion Papers.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series UNIVERSITE CATHOLIQUE DE LOUVAIN, Center for Operations Research and Econometrics (CORE) Number 1998024
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005043191