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The DNA database search controversy revisited: bridging the Bayesian-frequentist gap.

机译:DNA数据库搜索的争议再次被提出:弥合贝叶斯-频率主义的鸿沟。

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摘要

Two different quantities have been suggested for quantification of evidence in cases where a suspect is found by a search through a database of DNA profiles. The likelihood ratio, typically motivated from a Bayesian setting, is preferred by most experts in the field. The so-called np rule has been suggested through frequentist arguments and has been suggested by the American National Research Council and Stockmarr (1999, Biometrics55, 671-677). The two quantities differ substantially and have given rise to the DNA database search controversy. Although several authors have criticized the different approaches, a full explanation of why these differences appear is still lacking. In this article we show that a P-value in a frequentist hypothesis setting is approximately equal to the result of the np rule. We argue, however, that a more reasonable procedure in this case is to use conditional testing, in which case a P-value directly related to posterior probabilities and the likelihood ratio is obtained. This way of viewing the problem bridges the gap between the Bayesian and frequentist approaches. At the same time it indicates that the np rule should not be used to quantify evidence.
机译:在通过DNA谱图数据库搜索发现嫌疑犯的情况下,已建议使用两种不同的量来量化证据。通常由贝叶斯环境激发的似然比是本领域大多数专家所偏爱的。所谓的np规则是通过频繁的争论提出的,并已由美国国家研究委员会和Stockmarr提出(1999,Biometrics55,671-677)。这两个数量大不相同,并引起了DNA数据库搜索的争议。尽管有几位作者批评了不同的方法,但仍缺乏对为什么会出现这些差异的完整解释。在本文中,我们证明了在偏见假设设置中的P值大约等于np规则的结果。但是,我们认为,在这种情况下,更合理的方法是使用条件测试,在这种情况下,将获得与后验概率和似然比直接相关的P值。这种解决问题的方法弥合了贝叶斯方法和常客主义方法之间的鸿沟。同时,这表明不应使用np规则量化证据。

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