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Population Value Decomposition, a Framework for the Analysis of Image Populations

Author

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  • Crainiceanu, Ciprian M.
  • Caffo, Brian S.
  • Luo, Sheng
  • Zipunnikov, Vadim M.
  • Punjabi, Naresh M.

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Suggested Citation

  • Crainiceanu, Ciprian M. & Caffo, Brian S. & Luo, Sheng & Zipunnikov, Vadim M. & Punjabi, Naresh M., 2011. "Population Value Decomposition, a Framework for the Analysis of Image Populations," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 775-790.
    • Handle: RePEc:bes:jnlasa:v:106:i:495:y:2011:p:775-790
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2011.ap10089
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    Cited by:

    1. Wang, Dong & Liu, Xialu & Chen, Rong, 2019. "Factor models for matrix-valued high-dimensional time series," Journal of Econometrics, Elsevier, vol. 208(1), pages 231-248.
    2. Bingkai Wang & Xi Luo & Yi Zhao & Brian Caffo, 2021. "Semiparametric partial common principal component analysis for covariance matrices," Biometrics, The International Biometric Society, vol. 77(4), pages 1175-1186, December.
    3. Chung, Jaewon & Bridgeford, Eric & Arroyo, Jesus & Pedigo, Benjamin D. & Saad-Eldin, Ali & Gopalakrishnan, Vivek & Xiang, Liang & Priebe, Carey E. & Vogelstein, Joshua T., 2020. "Statistical Connectomics," OSF Preprints ek4n3, Center for Open Science.
    4. Aaron Fisher & Brian Caffo & Brian Schwartz & Vadim Zipunnikov, 2016. "Fast, Exact Bootstrap Principal Component Analysis for > 1 Million," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 846-860, April.

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