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Bayesian Semiparametric Multiple Shrinkage
High-dimensional and highly correlated data leading to non- or weakly identified effects are commonplace. Maximum likelihood will typically fail in such situations and a variety of shrinkage methods have been proposed. Standard techniques, such as ridge regression or the lasso, shrink estimates towa...
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| Main Authors: | , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2009
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3631538/ https://ncbi.nlm.nih.gov/pubmed/19508244 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01275.x |
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