High Dimensional Data Analysis

Henry Horng-Shing Lu (cE)

Institute of Statistics, National Chiao Tung University, Fall, 2013

TEL: 03-5731870 EMAIL: hslu@stat.nctu.edu.tw

@Goals :

This course will introduce state-of-art techniques of high dimensional data analysis. Systematical introduction will be provided from classical to modern methods. Methodology explanations will be given with computation codes in Matlab, R or the other platforms. Hands-on experience is emphasized using illustrations and reproducible examples. Undergraduate knowledge of probability and statistics will be helpful for the understanding of this course. Related materials will be post at the course web page in http://www.stat.nctu.edu.tw. @

@Course Outlines:
  • Introduction
  • Supervised learning
  • Unsupervised learning
  • Dimension reduction
  • Network analysis
@References:
@Evaluation:
  • Homework: 50%
  • Term Project: 50%
@Evaluation: