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Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics


  • Li, Fan
  • Zhang, Nancy R.


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Suggested Citation

  • Li, Fan & Zhang, Nancy R., 2010. "Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1202-1214.
  • Handle: RePEc:bes:jnlasa:v:105:i:491:y:2010:p:1202-1214

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    Cited by:

    1. Elin Shaddox & Francesco C. Stingo & Christine B. Peterson & Sean Jacobson & Charmion Cruickshank-Quinn & Katerina Kechris & Russell Bowler & Marina Vannucci, 0. "A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 0, pages 1-27.
    2. Alberto Cassese & Michele Guindani & Philipp Antczak & Francesco Falciani & Marina Vannucci, 2015. "A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants," Biometrics, The International Biometric Society, vol. 71(3), pages 803-811, September.
    3. repec:bla:biomet:v:73:y:2017:i:3:p:769-779 is not listed on IDEAS
    4. repec:bla:biomet:v:73:y:2017:i:2:p:603-614 is not listed on IDEAS
    5. Zhao, Kaifeng & Lian, Heng, 2016. "The Expectation–Maximization approach for Bayesian quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 1-11.
    6. Bradley W. McEvoy & Rajesh R. Nandy & Ram C. Tiwari, 2013. "Bayesian Approach for Clinical Trial Safety Data Using an Ising Prior," Biometrics, The International Biometric Society, vol. 69(3), pages 661-672, September.
    7. Sunkyung Kim & Wei Pan & Xiaotong Shen, 2013. "Network-Based Penalized Regression With Application to Genomic Data," Biometrics, The International Biometric Society, vol. 69(3), pages 582-593, September.
    8. repec:bla:biomet:v:73:y:2017:i:2:p:615-624 is not listed on IDEAS
    9. repec:bla:biomet:v:73:y:2017:i:1:p:232-241 is not listed on IDEAS
    10. Aijun Yang & Xuejun Jiang & Lianjie Shu & Jinguan Lin, 2017. "Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis," Computational Statistics, Springer, vol. 32(1), pages 127-143, March.

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