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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

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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

  • 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

  • EID of the result in the Scopus database