1 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
Matrix-valued Network Autoregression Model with Latent Group Structure
Yimeng Ren, Xuening Zhu, Ganggang Xu +1
Matrix-valued time series data are frequently observed in a broad range of areas and have attracted great attention recently. In this work, we model network effects for high dimens…
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks
Yimeng Ren, Zhe Li, Xuening Zhu +2
The rapid growth of online network platforms generates large-scale network data and it poses great challenges for statistical analysis using the spatial autoregression (SAR) model.…
Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse
Yimeng Ren, Xuening Zhu, Guanyu Hu
Vector autoregression model is ubiquitous in classical time series data analysis. With the rapid advance of social network sites, time series data over latent graph is becoming inc…
Graph Intention Network for Click-through Rate Prediction in Sponsored Search
Feng Li, Zhenrui Chen, Pengjie Wang +3
Estimating click-through rate (CTR) accurately has an essential impact on improving user experience and revenue in sponsored search. For CTR prediction model, it is necessary to ma…