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Sparse partial least squares regression for simultaneous dimension reduction and variable selection
Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in several areas of scientific research since the 1960s. It has recently gained much attention in the analysis of high dimensional genomic data. We show that known asymptotic consistency...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Blackwell Publishing Ltd
2010
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2810828/ https://ncbi.nlm.nih.gov/pubmed/20107611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9868.2009.00723.x |
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