activity
20022021
most citedConstrained Factor Models for High-Dimensional Matrix-Variate Time Series

92 citations · 235 across the 9 of their papers we have counts for

collaborators

10 papers

stat.ME2021

Simultaneous Decorrelation of Matrix Time Series

Yuefeng Han, Rong Chen, Cun-Hui Zhang +1

We propose a contemporaneous bilinear transformation for a matrix time series to alleviate the difficulties in modeling and forecasting matrix time series when and/…

stat.ME2020★ 33 cited

Rank Determination in Tensor Factor Model

Yuefeng Han, Rong Chen, Cun-Hui Zhang

Factor model is an appealing and effective analytic tool for high-dimensional time series, with a wide range of applications in economics, finance and statistics. This paper develo…

stat.ME2020★ 5 cited

Modeling Multivariate Spatial-Temporal Data with Latent Low-Dimensional Dynamics

Elynn Y. Chen, Xin Yun, Rong Chen +1

High-dimensional multivariate spatial-temporal data arise frequently in a wide range of applications; however, there are relatively few statistical methods that can simultaneously…

stat.ME2019

State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization

Chencheng Cai, Rong Chen

Many high dimensional optimization problems can be reformulated into a problem of finding theoptimal state path under an equivalent state space model setting. In this article, we p…

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…