扩展关于贝叶斯的困惑

Bernard Robertson, G. Vignaux, C. Berger
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引用次数: 48

摘要

在R v T [2010] EWCA Crim 2439, [2011] 1 Cr App Rep 85中,上诉法院指出,在没有确凿统计证据的情况下,法医科学家不应使用“数学公式”,如似然比来分析数据。不幸的是,当考虑法医科学家的证据时,判断总是犯一个基本的逻辑错误,即“条件的调换”,这表明贝叶斯论证没有被理解,并扩大了围绕它的混乱。这种判断也不能区分公式中关系的有效性和数据的精确性。我们解释了为什么贝叶斯方法是分析法医科学证据的正确逻辑方法,它是如何工作的,以及为什么即使在缺乏可靠统计数据的情况下,“数学公式”也是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending the Confusion About Bayes
In R v T [2010] EWCA Crim 2439, [2011] 1 Cr App Rep 85, the Court of Appeal indicated that ‘mathematical formulae’, such as likelihood ratios, should not be used by forensic scientists to analyse data where firm statistical evidence did not exist. Unfortunately, when considering the forensic scientist's evidence, the judgment consistently commits a basic logical error, the ‘transposition of the conditional’ which indicates that the Bayesian argument has not been understood and extends the confusion surrounding it. The judgment also fails to distinguish between the validity of the relationships in a formula and the precision of the data. We explain why the Bayesian method is the correct logical method for analysing forensic scientific evidence, how it works and why ‘mathematical formulae’ can be useful even where firm statistical data is lacking.
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