114年第1學期-6192 物件資料分析 課程資訊

評分方式

評分項目	配分比例	說明
Final Presentation	100

教育目標

Object data analysis is the most general type of data analysis that is known in Statistics. Technically, this is Data analysis on object spaces with a manifold stratification. Data on manifolds originally arose in astronomy, meteorology, geology, cartography, biology and physics. The foundation of Nonparametric Statistics on manifolds includes large sample theory on manifolds, density estimation on manifolds, inference on manifolds, and other techniques originating from multivariate analysis. We will also focuses on concrete applications in Astronomy, Image Analysis, Medical Imaging, Bioinformatics, Computer Vision and 3D scene recognition, etc.

課程概述

物件資料分析是以圖像為主導的資料分析。有別於一般的數據資料分析，物件資料分析會將物件套用至幾何空間上，利用其性質去輔助統計分析（流形上的統計推論、大樣本理論、無母數分析等）。

基本資料

選修課，學分數：3-0
上課時間：三/6,7,8[M438]
修課班級：統計碩1,2
修課年級：1年級以上
選課備註：

參考書目

Nonparametric Statistic on Manifolds and their Applications to Object Data Analysis, by Vic Patrangenaru,
Leif Ellingson, 2015, Chapman Hall/CRC