| Genome Wide Association Analyses Based On Broadly Different Specifications For Prior Distributions, Genomic Windows, And Estimation Methods C Chen, JP Steibel, RJ Tempelman Genetics 206 (4), 1791, 2017 | 35 | 2017 |
| Improving the computational efficiency of fully Bayes inference and assessing the effect of misspecification of hyperparameters in whole-genome prediction models W Yang, C Chen, RJ Tempelman Genetics Selection Evolution 47, 1-14, 2015 | 14 | 2015 |
| An integrated approach to empirical Bayesian whole genome prediction modeling C Chen, RJ Tempelman Journal of agricultural, biological, and environmental statistics 20, 491-511, 2015 | 6 | 2015 |
| A comparison of alternative random regression and reaction norm models for whole genome predictions RJT W Yang, C Chen, JP Steibel, CW Ernst, RO Bates, L Zhou Journal of Animal Science 93 (6), 2678-2692, 2015 | 4 | 2015 |
| Flexible Hierarchical Bayesian Modeling Extensions to Improve Whole Genome Prediction and Genome Wide Association Analyses C Chen Michigan State University, 2017 | | 2017 |
| 0305 Heteroskedastic extensions for genome-wide association studies Z Ou, RJ Tempelman, JP Steibel, CW Ernst, RO Bates, C Chen, NM Bello Journal of Animal Science 94 (suppl_5), 145-145, 2016 | | 2016 |
| Exploring properties of genome wide association analyses based on different sparsities of prior specifications C Chen, JP Steibel, RJ Tempelman | | |
| Exploring Extensions and Properties of Expectation-maximization Methods for Whole Genome Prediction C Chen, H Wang, W Yang, RJ Tempelman | | |
R J TempelmanMichigan State University在 msu.edu 的电子邮件经过验证
R J TempelmanMichigan State University在 msu.edu 的电子邮件经过验证
Juan P. SteibelIowa State University在 iastate.edu 的电子邮件经过验证