10 citations · 38 across the 27 of their papers we have counts for
6 papers · 1 filter
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues
Jianwei Hu, Jingfei Zhang, Jianhua Guo +1
In this paper, we study limiting laws and consistent estimation criteria for the extreme eigenvalues in a spiked covariance model of dimension . Firstly, for fixed , we propo…
High Dimensional Gaussian Graphical Regression Models with Covariates
Jingfei Zhang, Yi Li
Though Gaussian graphical models have been widely used in many scientific fields, relatively limited progress has been made to link graph structures to external covariates. We prop…
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang, Jingfei Zhang, Binghui Liu +2
The stochastic block model is one of the most studied network models for community detection. It is well-known that most algorithms proposed for fitting the stochastic block model…
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making
Jie Zhou, Botao Hao, Zheng Wen +2
Multi-dimensional online decision making plays a crucial role in many real applications such as online recommendation and digital marketing. In these problems, a decision at each t…
Latent Network Structure Learning from High Dimensional Multivariate Point Processes
Biao Cai, Jingfei Zhang, Yongtao Guan
Learning the latent network structure from large scale multivariate point process data is an important task in a wide range of scientific and business applications. For instance, w…
Partially Observed Dynamic Tensor Response Regression
Jie Zhou, Will Wei Sun, Jingfei Zhang +1
In modern data science, dynamic tensor data is prevailing in numerous applications. An important task is to characterize the relationship between such dynamic tensor and external c…