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A Hierarchical Model for Probabilistic Independent Component Analysis of Multi-Subject fMRI Studies

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  • Ying Guo
  • Li Tang

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  • Ying Guo & Li Tang, 2013. "A Hierarchical Model for Probabilistic Independent Component Analysis of Multi-Subject fMRI Studies," Biometrics, The International Biometric Society, vol. 69(4), pages 970-981, December.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:970-981
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    File URL: http://hdl.handle.net/10.1111/biom.12068
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    References listed on IDEAS

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    1. Ying Guo, 2011. "A General Probabilistic Model for Group Independent Component Analysis and Its Estimation Methods," Biometrics, The International Biometric Society, vol. 67(4), pages 1532-1542, December.
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    Cited by:

    1. Ben Wu & Subhadip Pal & Jian Kang & Ying Guo, 2022. "Distributional independent component analysis for diverse neuroimaging modalities," Biometrics, The International Biometric Society, vol. 78(3), pages 1092-1105, September.
    2. Ben Wu & Subhadip Pal & Jian Kang & Ying Guo, 2022. "Rejoinder to discussions of “distributional independent component analysis for diverse neuroimaging modalities”," Biometrics, The International Biometric Society, vol. 78(3), pages 1122-1126, September.
    3. Zhao, Yuxuan & Matteson, David S. & Mostofsky, Stewart H. & Nebel, Mary Beth & Risk, Benjamin B., 2022. "Group linear non-Gaussian component analysis with applications to neuroimaging," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).

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    1. Ben Wu & Subhadip Pal & Jian Kang & Ying Guo, 2022. "Distributional independent component analysis for diverse neuroimaging modalities," Biometrics, The International Biometric Society, vol. 78(3), pages 1092-1105, September.
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    4. Zhao, Yuxuan & Matteson, David S. & Mostofsky, Stewart H. & Nebel, Mary Beth & Risk, Benjamin B., 2022. "Group linear non-Gaussian component analysis with applications to neuroimaging," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).

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