3 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ML2019
Low-Rank Principal Eigenmatrix Analysis
Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan +1
Sparse PCA is a widely used technique for high-dimensional data analysis. In this paper, we propose a new method called low-rank principal eigenmatrix analysis. Different from spar…
stat.ME2017
Multivariate Spatial-temporal Prediction on Latent Low-dimensional Functional Structure with Non-stationarity
Elynn Yi Chen, Qiwei Yao, Rong Chen
Multivariate spatio-temporal data arise more and more frequently in a wide range of applications; however, there are relatively few general statistical methods that can readily use…
stat.ME2017★ 3 cited
Factor Models for High-Dimensional Dynamic Networks: with Application to International Trade Flow Time Series 1981-2015
Elynn Yi Chen, Rong Chen
Dynamic network analysis has found an increasing interest in the literature because of the importance of different kinds of dynamic social networks, biological networks, and econom…