An RKHS Framework for Sparse Functional Varying Coefficient Model
We study functional varying coefficient model in which both the response and the predictor are functions of a common variable such as time. We demonstrate the estimation of the slope function for the case of sparse and noise-contaminated longitudinal data. So far, a few methods have been introduced...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto Nacional de Estatística | Statistics Portugal
2016-06-01
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| Series: | Revstat Statistical Journal |
| Subjects: | |
| Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/192 |