學習多變量方法之統計分析於實務應用上.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、主要黑森定向法等),用以達到資料縮減的目的,並且應用至大量資料集(包括生物醫學等方面)。Learn the statistical analysis of multivariate methods in practical applications. This course introduces a number of innovative multivariate statistical methods (for example: piecewise inverse regression method, main Hessian directional method, etc.) to achieve the purpose of data reduction and application to a large number of data sets (including biomedicine, etc.).
introduce some popular methods in data analysis.
introduce some popular method sin data analysis.
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 |