Dust particles recovered from the soles of shoes may be indicative of the sites recently visited by an individual, and, in particular, of the presence of an individual at a particular site of interest, e.g., the scene of a crime. By describing the dust profile of a given site by a multinomial distribution over a fixed number of dust particle types, we can define the probability distribution of the mixture of dust recovered from the sole of a shoe via Latent Dirichlet Allocation. We use Variational Bayesian Inference to study the parameters of the model, and use their resulting posterior distributions to make inference on (a) the contributions of sites of interest to a dust mixture, and (b) the particle profiles associated with these sites.
翻译:从鞋底提取的尘埃颗粒可能表明个人最近访问过的地点,特别是某个个人出现在某个感兴趣的地点,例如犯罪现场。通过以固定数量的尘埃颗粒类型多星分布的方式描述一个特定地点的尘埃图案,我们可以确定通过冷淡的Drichlet分配系统从鞋底回收的尘埃混合物的概率分布。我们使用挥发性Bayesian推论来研究模型的参数,并使用其产生的后方分布来推断(a) 有关地点对灰尘混合物的贡献,以及(b) 与这些地点有关的粒子剖面。