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Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters
Regularized variable selection is a powerful tool for identifying the true regression model from a large number of candidates by applying penalties to the objective functions. The penalty functions typically involve a tuning parameter that control the complexity of the selected model. The ability of...
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| Pubblicato in: | Scand Stat Theory Appl |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6107315/ https://ncbi.nlm.nih.gov/pubmed/30147217 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12313 |
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