學習多變量方法於統計實務的應用分析。本課程介紹多個創新的多變量統計方法(例如:分段逆迴歸法(Sliced Inverse Regression)、主要黑森定向法(principal Hessian Directions等)，用以達到資料縮減(data reduction)的目的，並且應用至大量資料集(包括生物醫學等方面)。Learn the application analysis of multivariate methods in statistical practice. This course introduces a number of innovative multivariate statistical methods (such as Sliced Inverse Regression, principal Hessian Directions, etc.) to achieve the purpose of data reduction, and Apply to a large number of data sets (including biomedicine, etc.).
No textbook. Lecture notes and selected papers will be available.
no textbook. lecture notes and selected papers will be available.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Homework |
25 | |
| 學期研究報告(Term paper)學期研究報告(Term paper) Term paper |
50 | 大型資料分析或程式建立(software-development)。 |
| 期末考期末考 final exam |
25 |
