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Variable Selection in Function-on-Scalar Regression
For regression models with functional responses and scalar predictors, it is common for the number of predictors to be large. Despite this, few methods for variable selection exist for function-on-scalar models, and none account for the inherent correlation of residual curves in such models. By expa...
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| 出版年: | Stat (Int Stat Inst) |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4943585/ https://ncbi.nlm.nih.gov/pubmed/27429751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sta4.106 |
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