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Hierarchical Shrinkage Priors and Model Fitting for High-dimensional Generalized Linear Models
Genetic and other scientific studies routinely generate very many predictor variables, which can be naturally grouped, with predictors in the same groups being highly correlated. It is desirable to incorporate the hierarchical structure of the predictor variables into generalized linear models for s...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2012
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3658361/ https://ncbi.nlm.nih.gov/pubmed/23192052 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/1544-6115.1803 |
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