110 citations · 630 across the 32 of their papers we have counts for
4 papers · 1 filter
Modelling matrix time series via a tensor CP-decomposition
Jinyuan Chang, Jing He, Lin Yang +1
We consider to model matrix time series based on a tensor CP-decomposition. Instead of using an iterative algorithm which is the standard practice for estimating CP-decompositions,…
Edge differentially private estimation in the -model via jittering and method of moments
Jinyuan Chang, Qiao Hu, Eric D. Kolaczyk +2
A standing challenge in data privacy is the trade-off between the level of privacy and the efficiency of statistical inference. Here we conduct an in-depth study of this trade-off…
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/…
Factor Modelling for Clustering High-dimensional Time Series
Bo Zhang, Guangming Pan, Qiwei Yao +1
We propose a new unsupervised learning method for clustering a large number of time series based on a latent factor structure. Each cluster is characterized by its own cluster-spec…