期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2014
卷号：76
期号：2
页码：305-327
DOI：10.1007/s13171-013-0048-6
语种：English
出版社：Indian Statistical Institute
摘要：Florens, Richard and Rolin ( 2003 ) proposed a specification test of a parametric hypothesis against a nonparametric one, in the framework of a Bayesian encompassing test. Building on that work, this paper elaborates the procedure under a condition of partial observability. The general procedure is illustrated with the case where only the sign is observable, and more generally when the available data come from a binary reduction of a vector of latent variables. This example is also used to point out some difficulties when implementing the proposed procedure.
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