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Testing the mean matrix in high-dimensional transposable data

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  • Anestis Touloumis
  • Simon Tavaré
  • John C. Marioni

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  • Anestis Touloumis & Simon Tavaré & John C. Marioni, 2015. "Testing the mean matrix in high-dimensional transposable data," Biometrics, The International Biometric Society, vol. 71(1), pages 157-166, March.
    • Handle: RePEc:bla:biomet:v:71:y:2015:i:1:p:157-166
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    File URL: http://hdl.handle.net/10.1111/biom.12257
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    References listed on IDEAS

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    1. Chen, Song Xi & Zhang, Li-Xin & Zhong, Ping-Shou, 2010. "Tests for High-Dimensional Covariance Matrices," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 810-819.
    2. Teng, Siew Leng & Huang, Haiyan, 2009. "A Statistical Framework to Infer Functional Gene Relationships From Biologically Interrelated Microarray Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 465-473.
    3. Yin, Jianxin & Li, Hongzhe, 2012. "Model selection and estimation in the matrix normal graphical model," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 119-140.
    4. Genevera I. Allen & Robert Tibshirani, 2012. "Inference with transposable data: modelling the effects of row and column correlations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 74(4), pages 721-743, September.
    5. Dayanand Naik & Shantha Rao, 2001. "Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(1), pages 91-105.
    6. Chen, Song Xi & Qin, Yingli, 2010. "A Two Sample Test for High Dimensional Data with Applications to Gene-set Testing," MPRA Paper 59642, University Library of Munich, Germany.
    7. Yang Ning & Han Liu, 2013. "High-dimensional semiparametric bigraphical models," Biometrika, Biometrika Trust, vol. 100(3), pages 655-670.
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    Cited by:

    1. Zhang, Jin-Ting & Guo, Jia & Zhou, Bu, 2017. "Linear hypothesis testing in high-dimensional one-way MANOVA," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 200-216.
    2. Peng, Liuhua & Chen, Song Xi & Zhou, Wen, 2016. "More powerful tests for sparse high-dimensional covariances matrices," Journal of Multivariate Analysis, Elsevier, vol. 149(C), pages 124-143.
    3. Jin-Ting Zhang & Bu Zhou & Jia Guo, 2022. "Testing high-dimensional mean vector with applications," Statistical Papers, Springer, vol. 63(4), pages 1105-1137, August.

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