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Bayesian Spatial Transformation Models with Applications in Neuroimaging Data

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  • Michelle F. Miranda
  • Hongtu Zhu
  • Joseph G. Ibrahim

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  • Michelle F. Miranda & Hongtu Zhu & Joseph G. Ibrahim, 2013. "Bayesian Spatial Transformation Models with Applications in Neuroimaging Data," Biometrics, The International Biometric Society, vol. 69(4), pages 1074-1083, December.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:1074-1083
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    File URL: http://hdl.handle.net/10.1111/biom.12085
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    References listed on IDEAS

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    1. Yimei Li & Hongtu Zhu & Dinggang Shen & Weili Lin & John H. Gilmore & Joseph G. Ibrahim, 2011. "Multiscale adaptive regression models for neuroimaging data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 559-578, September.
    2. Smith, Michael & Fahrmeir, Ludwig, 2007. "Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 417-431, June.
    3. Hongtu Zhu & Haibo Zhou & Jiahua Chen & Yimei Li & Jeffrey Lieberman & Martin Styner, 2009. "Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology," Biometrics, The International Biometric Society, vol. 65(3), pages 919-927, September.
    4. Ferreira, Marco A.R. & De Oliveira, Victor, 2007. "Bayesian reference analysis for Gaussian Markov random fields," Journal of Multivariate Analysis, Elsevier, vol. 98(4), pages 789-812, April.
    5. C. Gössl & D. P. Auer & L. Fahrmeir, 2001. "Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging," Biometrics, The International Biometric Society, vol. 57(2), pages 554-562, June.
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    Cited by:

    1. Xinchao Luo & Lixing Zhu & Hongtu Zhu, 2016. "Single‐index varying coefficient model for functional responses," Biometrics, The International Biometric Society, vol. 72(4), pages 1275-1284, December.

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