Marginally specified priors for non-parametric Bayesian estimation
نویسندگان
چکیده
منابع مشابه
Marginally specified priors for non-parametric Bayesian estimation.
Prior specification for non-parametric Bayesian inference involves the difficult task of quantifying prior knowledge about a parameter of high, often infinite, dimension. A statistician is unlikely to have informed opinions about all aspects of such a parameter but will have real information about functionals of the parameter, such as the population mean or variance. The paper proposes a new fr...
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ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
سال: 2014
ISSN: 1369-7412
DOI: 10.1111/rssb.12059