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High-Dimension, LowSample Size Perspectives in Constrained Statistical Inference: The SARSCoV RNA Genome in Illustration

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  • Sen, Pranab K.
  • Tsai, Ming-Tien
  • Jou, Yuh-Shan

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  • Sen, Pranab K. & Tsai, Ming-Tien & Jou, Yuh-Shan, 2007. "High-Dimension, LowSample Size Perspectives in Constrained Statistical Inference: The SARSCoV RNA Genome in Illustration," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 686-694, June.
    • Handle: RePEc:bes:jnlasa:v:102:y:2007:m:june:p:686-694
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    Cited by:

    1. Sen, Pranab K. & Kang, Moonsu, 2013. "Bivariate high-level exceedance and the Chen–Stein theorem in genomics multiple hypothesis testing perspectives," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1725-1730.
    2. Pinheiro, Aluísio & Sen, Pranab Kumar & Pinheiro, Hildete Prisco, 2009. "Decomposability of high-dimensional diversity measures: Quasi-U-statistics, martingales and nonstandard asymptotics," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1645-1656, September.
    3. Tsai, Ming-Tien & Sen, Pranab Kumar, 2010. "Entropy based constrained inference for some HDLSS genomic models: UI tests in a Chen-Stein perspective," Journal of Multivariate Analysis, Elsevier, vol. 101(7), pages 1559-1573, August.

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