دورية أكاديمية
A Nonparametric Bayesian Approach to the Rare Type Match Problem
| العنوان: | A Nonparametric Bayesian Approach to the Rare Type Match Problem |
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| المؤلفون: | Giulia Cereda, Richard D. Gill |
| المصدر: | Entropy, Vol 22, Iss 4, p 439 (2020) |
| بيانات النشر: | MDPI AG, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Science LCC:Astrophysics LCC:Physics |
| مصطلحات موضوعية: | forensic statistics, likelihood ratio, Bayesian nonparametric, rare type match problem, Y-STR, Science, Astrophysics, QB460-466, Physics, QC1-999 |
| الوصف: | The “rare type match problem” is the situation in which, in a criminal case, the suspect’s DNA profile, matching the DNA profile of the crime stain, is not in the database of reference. Ideally, the evaluation of this observed match in the light of the two competing hypotheses (the crime stain has been left by the suspect or by another person) should be based on the calculation of the likelihood ratio and depends on the population proportions of the DNA profiles that are unknown. We propose a Bayesian nonparametric method that uses a two-parameter Poisson Dirichlet distribution as a prior over the ranked population proportions and discards the information about the names of the different DNA profiles. This model is validated using data coming from European Y-STR DNA profiles, and the calculation of the likelihood ratio becomes quite simple thanks to an Empirical Bayes approach for which we provided a motivation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 22040439 1099-4300 |
| Relation: | https://www.mdpi.com/1099-4300/22/4/439; https://doaj.org/toc/1099-4300 |
| DOI: | 10.3390/e22040439 |
| URL الوصول: | https://doaj.org/article/53808c103201407c9841943b756ea63d |
| رقم الأكسشن: | edsdoj.53808c103201407c9841943b756ea63d |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22040439 10994300 |
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| DOI: | 10.3390/e22040439 |