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Structured functional additive regression in reproducing kernel Hilbert spaces
Functional additive models (FAMs) provide a flexible yet simple framework for regressions involving functional predictors. The utilization of data-driven basis in an additive rather than linear structure naturally extends the classical functional linear model. However, the critical issue of selectin...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4084920/ https://ncbi.nlm.nih.gov/pubmed/25013362 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12036 |
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