6 papers
Quantile Social Autoregressive Model
Liyuan Wang, Danyang Huang, Wei Lan +1
Research on modelling peer effects has predominantly relied on linear-in-means models. However, averaging peer responses prevents these models from capturing the effects of extreme…
Maximum-of-Differences Test for Comparing Multivariate K-Sample Distributions
Wei Lan, Long Feng, Runze Li +1
Comparing -sample distributions is a fundamental problem in data science that arises in a wide variety of fields and applications. In this article, we introduce a maximum-of-dif…
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…
A Goodness-of-Fit Test for Sparse Networks
Yujia Wu, Wei Lan, Long Feng +1
The stochastic block model (SBM) has been widely used to analyze network data. Various goodness-of-fit tests have been proposed to assess the adequacy of model structures. To the b…
Fixed and Random Covariance Regression Analyses
Tao Zou, Wei Lan, Runze Li +1
Covariance regression analysis is an approach to linking the covariance of responses to a set of explanatory variables , where can be a vector, matrix, or tensor. Most of th…
An Eigengap Ratio Test for Determining the Number of Communities in Network Data
Yujia Wu, Jingfei Zhang, Wei Lan +1
To characterize the community structure in network data, researchers have introduced various block-type models, including the stochastic block model, degree-corrected stochastic bl…