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Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation

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  • Kyu Ha Lee
  • Mahlet G. Tadesse
  • Andrea A. Baccarelli
  • Joel Schwartz
  • Brent A. Coull

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Suggested Citation

  • Kyu Ha Lee & Mahlet G. Tadesse & Andrea A. Baccarelli & Joel Schwartz & Brent A. Coull, 2017. "Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation," Biometrics, The International Biometric Society, vol. 73(1), pages 232-241, March.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:1:p:232-241
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    File URL: http://hdl.handle.net/10.1111/biom.12557
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    References listed on IDEAS

    as
    1. Liang, Feng & Paulo, Rui & Molina, German & Clyde, Merlise A. & Berger, Jim O., 2008. "Mixtures of g Priors for Bayesian Variable Selection," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 410-423, March.
    2. repec:dau:papers:123456789/4911 is not listed on IDEAS
    3. 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.
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