Stochastic Models in the Identification Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F11%3A9234" target="_blank" >RIV/00216208:11110/11:9234 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/11:00368507
Result on the web
<a href="http://www.ejbi.eu/images/2011-1/Slovak_en.pdf" target="_blank" >http://www.ejbi.eu/images/2011-1/Slovak_en.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Stochastic Models in the Identification Process
Original language description
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,
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M06014" target="_blank" >1M06014: Centre of Biomedical Informatics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal for Biomedical Informatics
ISSN
1801-5603
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
44-50
UT code for WoS article
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EID of the result in the Scopus database
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