1 citations · 1 across the 4 of their papers we have counts for
4 papers
Causal Inference for Network Autoregression Model: A Targeted Minimum Loss Estimation Approach
Yong Wu, Shuyuan Wu, Xinwei Sun +1
We study estimation of the average treatment effect (ATE) from a single network in observational settings with interference. The weak cross-unit dependence is modeled via an endoge…
Multi-relational Network Autoregression Model with Latent Group Structures
Yimeng Ren, Xuening Zhu, Ganggang Xu +1
Multi-relational networks among entities are frequently observed in the era of big data. Quantifying the effects of multiple networks have attracted significant research interest r…
Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
Jingcheng Meng, Yimeng Ren, Xuening Zhu +1
The Gini coefficient is an universally used measurement of income inequality. Intersectoral GDP contributions reveal the economic development of different sectors of the national e…
Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
Wenyang Liu, Ganggang Xu, Jianqing Fan +1
We propose a two-way grouped network quantile (TGNQ) autoregression model for time series data observed on networks with substantial heterogeneity and complex directional interacti…