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Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials


  • Banerjee, Sudipto
  • Finley, Andrew O.
  • Waldmann, Patrik
  • Ericsson, Tore


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Suggested Citation

  • Banerjee, Sudipto & Finley, Andrew O. & Waldmann, Patrik & Ericsson, Tore, 2010. "Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 506-521.
  • Handle: RePEc:bes:jnlasa:v:105:i:490:y:2010:p:506-521

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    Cited by:

    1. Soumen Dey & Mohan Delampady & Ravishankar Parameshwaran & N. Samba Kumar & Arjun Srivathsa & K. Ullas Karanth, 0. "Bayesian Methods for Estimating Animal Abundance at Large Spatial Scales Using Data from Multiple Sources," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 0, pages 1-29.
    2. repec:spr:jagbes:v:22:y:2017:i:2:d:10.1007_s13253-017-0276-7 is not listed on IDEAS
    3. Qian Ren & Sudipto Banerjee, 2013. "Hierarchical Factor Models for Large Spatially Misaligned Data: A Low-Rank Predictive Process Approach," Biometrics, The International Biometric Society, vol. 69(1), pages 19-30, March.
    4. Eidsvik, Jo & Finley, Andrew O. & Banerjee, Sudipto & Rue, HÃ¥vard, 2012. "Approximate Bayesian inference for large spatial datasets using predictive process models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1362-1380.
    5. repec:eee:appene:v:206:y:2017:i:c:p:657-666 is not listed on IDEAS

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