會議論文
| 學年 | 110 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2022-06-04 |
| 作品名稱 | Generalized linear model with functional covariate and its derivatives |
| 作品名稱（其他語言） | |
| 著者 | Pai-Ling Li; Jeng-Min Chiou |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | The 5th International Conference on Econometrics and Statistics (EcoSta 2022) |
| 會議地點 | Kyoto, Japan (Hybrid) |
| 摘要 | A generalized functional linear regression model is proposed by considering a functional covariate and its derivatives as functional predictors. The unobserved derivatives of a random function may carry useful information and need to be estimated. We apply the notion of functional principal component analysis to modeling functional predictors. The proposed regression model is parameterized in various ways to investigate the effect of each functional predictor. The performance of the proposed method is demonstrated through a traffic data example. |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20220604~20220606 |
| 通訊作者 | |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/122768 ) |