67 citations · 67 across the 3 of their papers we have counts for
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stat.ME2021
Dynamic Principal Component Analysis in High Dimensions
Xiaoyu Hu, Fang Yao
Principal component analysis is a versatile tool to reduce dimensionality which has wide applications in statistics and machine learning. It is particularly useful for modeling dat…
stat.ME2020
Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, Fang Yao
Functional principal component analysis (FPCA) is a fundamental tool and has attracted increasing attention in recent decades, while existing methods are restricted to data with a…