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Least Squares Parameter Estimation for Sparse Functional Varying Coefficient Model
In the present paper, we study functional varying coefficient model in which both the response and the predictor are functions. We give estimates of the intercept and the slope functions in the case that the observations are sparse and noise-contaminated longitudinal data by using least squares repr...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2017-08-01
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| Collection: | Journal of Statistical Theory and Applications (JSTA) |
| Sujets: | |
| Accès en ligne: | https://www.atlantis-press.com/article/25883866.pdf |
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