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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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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2017-08-01
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| シリーズ: | Journal of Statistical Theory and Applications (JSTA) |
| 主題: | |
| オンライン･アクセス: | https://www.atlantis-press.com/article/25883866.pdf |
| タグ: |
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