25 citations · 29 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Optimal Functional Bilinear Regression with Two-way Functional Covariates via Reproducing Kernel Hilbert Space
Dan Yang, Jianlong Shao, Haipeng Shen +1
Traditional functional linear regression usually takes a one-dimensional functional predictor as input and estimates the continuous coefficient function. Modern applications often…
math.ST2013★ 25 cited
Surprising Asymptotic Conical Structure in Critical Sample Eigen-Directions
Dan Shen, Haipeng Shen, Hongtu Zhu +1
The aim of this paper is to establish several deep theoretical properties of principal component analysis for multiple-component spike covariance models. Our new results reveal a s…
stat.AP2012★ 4 cited
High Dimensional Principal Component Scores and Data Visualization
Dan Shen, Haipeng Shen, Hongtu Zhu +1
Principal component analysis is a useful dimension reduction and data visualization method. However, in high dimension, low sample size asymptotic contexts, where the sample size i…