67 citations · 67 across the 3 of their papers we have counts for
3 papers
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…
math.PR2009★ 67 cited
Thick points of the Gaussian free field
Xiaoyu Hu, Jason Miller, Yuval Peres
Let be a bounded domain with smooth boundary and let be an instance of the continuum Gaussian free field on with respect to the Dirichlet inner produ…