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On the Quantification of Model Uncertainty: A Bayesian Perspective
Issues of model selection have dominated the theoretical and applied statistical literature for decades. Model selection methods such as ridge regression, the lasso, and the elastic net have replaced ad hoc methods such as stepwise regression as a means of model selection. In the end, however, these...
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| Publicado no: | Psychometrika |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7958145/ https://ncbi.nlm.nih.gov/pubmed/33721184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11336-021-09754-5 |
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