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Nonparametric Modeling of Longitudinal Covariance Structure in Functional Mapping of Quantitative Trait Loci

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  • John Stephen Yap
  • Jianqing Fan
  • Rongling Wu

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  • John Stephen Yap & Jianqing Fan & Rongling Wu, 2009. "Nonparametric Modeling of Longitudinal Covariance Structure in Functional Mapping of Quantitative Trait Loci," Biometrics, The International Biometric Society, vol. 65(4), pages 1068-1077, December.
  • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1068-1077
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01222.x
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    References listed on IDEAS

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    1. Wei Biao Wu, 2003. "Nonparametric estimation of large covariance matrices of longitudinal data," Biometrika, Biometrika Trust, vol. 90(4), pages 831-844, December.
    2. Rongling Wu & Chang-Xing Ma & Min Lin & Zuoheng Wang & George Casella, 2004. "Functional Mapping of Quantitative Trait Loci Underlying Growth Trajectories Using a Transform-Both-Sides Logistic Model," Biometrics, The International Biometric Society, vol. 60(3), pages 729-738, September.
    3. Smith M. & Kohn R., 2002. "Parsimonious Covariance Matrix Estimation for Longitudinal Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1141-1153, December.
    4. Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
    5. Jianhua Z. Huang & Naiping Liu & Mohsen Pourahmadi & Linxu Liu, 2006. "Covariance matrix selection and estimation via penalised normal likelihood," Biometrika, Biometrika Trust, vol. 93(1), pages 85-98, March.
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    Cited by:

    1. Simona Sanfelici & Giacomo Toscano, 2024. "The Fourier-Malliavin Volatility (FMVol) MATLAB library," Papers 2402.00172, arXiv.org.
    2. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.

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