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Comments on: Augmenting the bootstrap to analyze high dimensional genomic data

Connections between the augmented bootstrap and the shrinkage covariance estimator

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References

  • Barnard J, McCulloch R, Meng XL (2000) Modeling covariance matrices in terms of standard deviations and correlations, with applications to shrinkage. Stat Sin 10:1281–1311

    MATH  MathSciNet  Google Scholar 

  • Opgen-Rhein R, Strimmer K (2007) Accurate ranking of differentially expressed genes by a distribution-free shrinkage approach. Stat Appl Genet Mol Biol 6:9

    MathSciNet  Google Scholar 

  • Schäfer J, Strimmer K (2005) A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Stat Appl Genet Mol Biol 4(1):32

    MathSciNet  Google Scholar 

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Correspondence to Korbinian Strimmer.

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This comment refers to the invited paper available at: http://dx.doi.org/10.1007/s11749-008-0098-6.

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Strimmer, K. Comments on: Augmenting the bootstrap to analyze high dimensional genomic data. TEST 17, 25–27 (2008). https://doi.org/10.1007/s11749-008-0101-2

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  • DOI: https://doi.org/10.1007/s11749-008-0101-2

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