11 citations · 24 across the 6 of their papers we have counts for
6 papers
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…
Subnetwork Estimation for Spatial Autoregressive Models in Large-scale Networks
Xuetong Li, Feifei Wang, Wei Lan +1
Large-scale networks are commonly encountered in practice (e.g., Facebook and Twitter) by researchers. In order to study the network interaction between different nodes of large-sc…
Imputations for High Missing Rate Data in Covariates via Semi-supervised Learning Approach
Wei Lan, Xuerong Chen, Tao Zou +1
Advancements in data collection techniques and the heterogeneity of data resources can yield high percentages of missing observations on variables, such as block-wise missing data.…
Inward and Outward Network Influence Analysis
Yujia Wu, Wei Lan, Tao Zou +1
Measuring heterogeneous influence across nodes in a network is critical in network analysis. This paper proposes an Inward and Outward Network Influence (IONI) model to assess noda…
Covariance Model with General Linear Structure and Divergent Parameters
Xinyan Fan, Wei Lan, Tao Zou +1
For estimating the large covariance matrix with a limited sample size, we propose the covariance model with general linear structure (CMGL) by employing the general link function t…
A Factor-Adjusted Multiple Testing Procedure with Application to Mutual Fund Selection
Wei Lan, Lilun Du
In this article, we propose a factor-adjusted multiple testing (FAT) procedure based on factor-adjusted p-values in a linear factor model involving some observable and unobservable…