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Outlier Detection and False Discovery Rates for Whole-Genome DNA Matching

Author

Listed:
  • Tzeng J-Y.
  • Byerley W.
  • Devlin B.
  • Roeder K.
  • Wasserman L.

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Suggested Citation

  • Tzeng J-Y. & Byerley W. & Devlin B. & Roeder K. & Wasserman L., 2003. "Outlier Detection and False Discovery Rates for Whole-Genome DNA Matching," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 236-246, January.
    • Handle: RePEc:bes:jnlasa:v:98:y:2003:p:236-246
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    Cited by:

    1. 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.
    2. Pedro Galeano & Daniel Peña, 2019. "Data science, big data and statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 289-329, June.
    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.
    4. Kenneth Rice & David Spiegelhalter, 2006. "A Simple Diagnostic Plot Connecting Robust Estimation, Outlier Detection, and False Discovery Rates," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1131-1147.
    5. Lourenço, V.M. & Pires, A.M., 2014. "M-regression, false discovery rates and outlier detection with application to genetic association studies," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 33-42.

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