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Stochastic Models in the Identification Process
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SYSNO ASEP 0368507 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Stochastic Models in the Identification Process Author(s) Slovák, Dalibor (UIVT-O) RID
Zvárová, Jana (UIVT-O) SAI, RID, ORCIDSource Title European Journal for Biomedical Informatics. - : Pulsus Group - ISSN 1801-5603
Roč. 7, č. 1 (2011), s. 44-50Number of pages 7 s. Language eng - English Country CZ - Czech Republic Keywords identification process ; weight-of evidence formula ; coancestry coefficient ; beta-binomial sampling formula ; DNA mixtures Subject RIV IN - Informatics, Computer Science R&D Projects 1M06014 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) DOI 10.24105/ejbi.2011.07.1.8 Annotation Objectives: The DNA analysis is now accepted by the broad public as a completely standard and faultless procedure but in some circumstances its reliability can decrease substantially. This paper deals with the process of identifying and determining the weight of evidence against the suspect. Main stochastic approaches to identification are shown. Methods: The weight-of-evidence formula was derived from Bayes theorem and its application in the model of the island problem was demonstrated. The beta-binomial formula derived from Dirichlet distribution was used for calculation of more complex situations. Results: From many various complications in the model of the island problem there was shown how to work with uncertainty in a population size. The beta-binomial formula was used to include a subpopulation structure and in issues of DNA mixtures. Conclusions: In particular, the influence of a population structure is now explored insufficiently. Using the results of H. Kubátová in this area, a new formula was derived. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
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