Non-stationary functional time series and functional machine learning : inference and applications
Functional time series analysis is important in the research of functional data, mainly in finance, also be involved in biology, medicine and many other areas. Stationary functional time series have many good properties that allow us to do the analysis and prediction with many existing methods. Howe...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
| 出版: |
Nanyang Technological University
2021
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/151903 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Nanyang Technological University |
| 語言: | English |