Bayesian hierarchical regression models for detecting QTLs in plant experiments

Edward L. Boone Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA, USACorrespondence[email protected]

Susan J. Simmons Department of Mathematics and Statistics, University of North Carolina Wilmington, Wilmington, NC, USA

Haikun Bao Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA

Ann E. Stapleton Department of Biology, University of North Carolina Wilmington, Wilmington, NC, USA

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Albert H. Lee & Edward L. Boone. (2011) A frequentist assessment of Bayesian inclusion probabilities for screening predictors. Journal of Statistical Computation and Simulation 81:9, pages 1111-1119.
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Tiago M. Fragoso, Wesley Bertoli & Francisco Louzada. (2018) Bayesian Model Averaging: A Systematic Review and Conceptual Classification. International Statistical Review 86:1, pages 1-28.
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Bayesian hierarchical regression models for detecting QTLs in plant experiments

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Bayesian hierarchical regression models for detecting QTLs in plant experiments

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