10 papers
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching
Xuran Meng, Jingfei Zhang, Yi Li
Graphical models for multivariate count data are widely used to characterize conditional dependence structures. For count variables with unbounded support, however, ensuring a fini…
Estimating Treatment and Spillover Effects with the Ego-Cluster Experimental Design
Xiao Liu, Feifang Hu, Jingfei Zhang
Network interference occurs when a unit's outcome depends not only on its own treatment but also on the treatments received by connected units in the network. Experimental designs…
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…
A spectral inference method for determining the number of communities in networks
Yujia Wu, Xiucai Ding, Jingfei Zhang +2
To characterize the community structure in network data, researchers have developed various block-type models, including the stochastic block model, the degree-corrected stochastic…
Modeling Non-Uniform Hypergraphs Using Determinantal Point Processes
Yichao Chen, Jingfei Zhang, Ji Zhu
Most statistical models for networks focus on pairwise interactions between nodes. However, many real-world networks involve higher-order interactions among multiple nodes, such as…
Generalized Tensor Completion with Non-Random Missingness
Maoyu Zhang, Biao Cai, Will Wei Sun +1
Tensor completion plays a crucial role in applications such as recommender systems and medical imaging, where data are often highly incomplete. While extensive prior work has addre…