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Smooth and Locally Sparse Estimation for Multiple-Output Functional Linear Regression
Functional data analysis has attracted substantial research interest and the goal of functional sparsity is to produce a sparse estimate which assigns zero values over regions where the true underlying function is zero, i.e., no relationship between the response variable and the predictor variable....
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| Veröffentlicht in: | J Stat Comput Simul |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7531773/ https://ncbi.nlm.nih.gov/pubmed/33012883 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00949655.2019.1680676 |
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