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Hierarchical Adaptive Regression Kernels for Regression with Functional Predictors
We propose a new method for regression using a parsimonious and scientifically interpretable representation of functional predictors. Our approach is designed for data that exhibit features such as spikes, dips, and plateaus whose frequency, location, size, and shape varies stochastically across sub...
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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/PMC3842620/ https://ncbi.nlm.nih.gov/pubmed/24293988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2012.694765 |
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