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A Bayesian analysis for the multivariate point null testing problem

机译:多元点零检验问题的贝叶斯分析

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摘要

A Bayesian test for the point null testing problem in the multivariate case is developed. A procedure to get the mixed distribution using the prior density is suggested. For comparisons between the Bayesian and classical approaches, lower bounds on posterior probabilities of the null hypothesis, over some reasonable classes of prior distributions, are computed and compared with the p-value of the classical test. With our procedure, a better approximation is obtained because the p-value is in the range of the Bayesian measures of evidence.
机译:针对多元情况下的零点检验问题,提出了一种贝叶斯检验。建议使用先验密度获得混合分布的过程。为了比较贝叶斯方法和经典方法,在一些合理的先验分布类别上,计算了原假设的后验概率下限,并将其与经典检验的p值进行了比较。通过我们的程序,可以获得更好的近似值,因为p值在证据的贝叶斯度量范围内。

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