Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation
<p>Abstract</p> <p>Multivariate linear models are increasingly important in quantitative genetics. In high dimensional specifications, factor analysis (FA) may provide an avenue for structuring (co)variance matrices, thus reducing the number of parameters needed for describing (co)...
| Main Authors: | , |
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| Format: | Article |
| Language: | deu |
| Published: |
BMC
2007-09-01
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| Series: | Genetics Selection Evolution |
| Subjects: | |
| Online Access: | http://www.gse-journal.org/content/39/5/481 |