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Exploiting Stein's Paradox in Analysing Sparse Data from Genome-Wide Association Studies

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    0435496 - ÚI 2015 RIV PL eng J - Journal Article
    Valenta, Zdeněk - Kalina, Jan
    Exploiting Stein's Paradox in Analysing Sparse Data from Genome-Wide Association Studies.
    Biocybernetics and Biomedical Engineering. Roč. 35, č. 1 (2015), s. 64-67. ISSN 0208-5216. E-ISSN 0208-5216
    Institutional support: RVO:67985807
    Keywords : Multivariate analysis * Shrinkage * Biased estimation * Risk * Squared-error loss * Bias-variance trade-off
    Subject RIV: BB - Applied Statistics, Operational Research
    Impact factor: 0.808, year: 2015 ; AIS: 0.141, rok: 2015
    DOI: https://doi.org/10.1016/j.bbe.2014.10.004
    Permanent Link: http://hdl.handle.net/11104/0239322
     
     
Number of the records: 1  

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