27 citations · 40 across the 14 of their papers we have counts for
4 papers · 1 filter
Sufficient Dimension Reduction for Classification
Xin Chen, Jingjing Wu, Zhigang Yao +1
We propose a new sufficient dimension reduction approach designed deliberately for high-dimensional classification. This novel method is named maximal mean variance (MMV), inspired…
Estimating the Number of Sources in Magnetoencephalography Using Spiked Population Eigenvalues
Zhigang Yao, Ye Zhang, Zhidong Bai +1
Magnetoencephalography (MEG) is an advanced imaging technique used to measure the magnetic fields outside the human head produced by the electrical activity inside the brain. Vario…
Principal Sub-manifolds
Zhigang Yao, Benjamin Eltzner, Tung Pham
We propose a novel method of finding principal components in multivariate data sets that lie on an embedded nonlinear Riemannian manifold within a higher-dimensional space. Our aim…
Partial Correlation Screening for Estimating Large Precision Matrices, with Applications to Classification
Shiqiong Huang, Jiashun Jin, Zhigang Yao
We propose Partial Correlation Screening (PCS) as a new row-by-row approach to estimating a large precision matrix . To estimate the -th row of , , PCS us…