Events

Statistics Discussion Group

Time: Feb 13, 2015 (02:00 PM)
Location: Parker Hall 248

Details:

Speaker:  Dr. Peng Zeng

Title: Principal Component Analysis for High-Dimensional Data

Abstract: Principal component analysis (PCA) is a popular procedure for dimension reduction. Targeting the application in high-dimensional data analysis, there are many novel developments on the theory and algorithms of PCA. In this talk, we will review some results in the recent literature.