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首页> 外文期刊>Journal of the royal statistical society >The evaluation of evidence for auto-correlated data in relation to traces of cocaine on banknotes
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The evaluation of evidence for auto-correlated data in relation to traces of cocaine on banknotes

机译：与钞票上可卡因痕迹有关的自动相关数据的证据评估

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摘要

Much research in recent years for evidence evaluation in forensic science has focused on methods for determining the likelihood ratio in various scenarios. When the issue in question is whether evidence is associated with a person who is or is not associated with criminal activity then the problem is one of discrimination. A procedure for the determination of the likelihood ratio is developed when the evidential data are believed to be driven by an underlying latent Markov chain. Three other models that assume auto-correlated data without the underlying Markov chain are also described. The performances of these four models and a model assuming independence are compared by using data concerning traces of cocaine on banknotes.
机译：近年来，法医科学中有关证据评估的许多研究都集中在确定各种情况下的似然比的方法上。当所讨论的问题是证据是否与犯罪活动有关或与犯罪活动无关时，问题就是歧视之一。当证据数据被认为是由潜在的潜在马尔可夫链驱动时，开发了一种确定似然比的程序。还介绍了其他三个假设的自动相关数据而没有底层马尔可夫链的模型。通过使用有关钞票上可卡因痕迹的数据，比较了这四个模型和假设独立模型的性能。

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