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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958145/ https://www.ncbi.nlm.nih.gov/pubmed/33721184 http://dx.doi.org/10.1007/s11336-021-09754-5 |