17 citations · 47 across the 14 of their papers we have counts for
4 papers · 1 filter
A Consistency Theorem for Randomized Singular Value Decomposition
Ting-Li Chen, Su-Yun Huang, Weichung Wang
The singular value decomposition (SVD) and the principal component analysis are fundamental tools and probably the most popular methods for data dimension reduction. The rapid grow…
Functional Inverse Regression in an Enlarged Dimension Reduction Space
Ting-Li Chen, Su-Yun Huang, Yanyuan Ma +1
We consider an enlarged dimension reduction space in functional inverse regression. Our operator and functional analysis based approach facilitates a compact and rigorous formulati…
On the Weak Convergence and Central Limit Theorem of Blurring and Nonblurring Processes with Application to Robust Location Estimation
Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang +1
This article studies the weak convergence and associated Central Limit Theorem for blurring and nonblurring processes. Then, they are applied to the estimation of location paramete…
On Multilinear Principal Component Analysis of Order-Two Tensors
Hung Hung, Pei-Shien Wu, I-Ping Tu +1
Principal Component Analysis (PCA) is a commonly used tool for dimension reduction in analyzing high dimensional data; Multilinear Principal Component Analysis (MPCA) has the poten…