1 citations · 1 across the 2 of their papers we have counts for
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Simultaneous Differential Network Analysis and Classification for High-dimensional Matrix-variate Data, with application to Brain Connectivity Alteration Detection and fMRI-guided Medical Diagnoses of Alzheimer's Disease
Chen Hao, Guo Ying, He Yong +6
Alzheimer's disease (AD) is the most common form of dementia, which causes problems with memory, thinking and behavior. Growing evidence has shown that the brain connectivity netwo…
Projected Estimation for Large-dimensional Matrix Factor Models
Long Yu, Yong He, Xin-bing Kong +1
In this study, we propose a projection estimation method for large-dimensional matrix factor models with cross-sectionally spiked eigenvalues. By projecting the observation matrix…
Network-Assisted Estimation for Large-dimensional Factor Model with Guaranteed Convergence Rate Improvement
Long Yu, Yong He, Xinsheng Zhang +1
Network structure is growing popular for capturing the intrinsic relationship between large-scale variables. In the paper we propose to improve the estimation accuracy for large-di…
Large-dimensional Factor Analysis without Moment Constraints
Yong He, Xinbing Kong, Long Yu +1
Large-dimensional factor model has drawn much attention in the big-data era, in order to reduce the dimensionality and extract underlying features using a few latent common factors…
Robust Factor Number Specification for Large-dimensional Elliptical Factor Model
Long Yu, Yong He, Xinsheng Zhang
The accurate specification of the number of factors is critical to the validity of factor models and the topic almost occupies the central position in factor analysis. Plenty of es…