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Analyzing Large Datasets with Bootstrap Penalization
Data with a large p (number of covariates) and/or a large n (sample size) are now commonly encountered. For many problems, regularization especially penalization is adopted for estimation and variable selection. The straightforward application of penalization to large datasets demands a “big compute...
Guardat en:
| Publicat a: | Biom J |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5577005/ https://ncbi.nlm.nih.gov/pubmed/27870109 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201600052 |
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