233 citations · 255 across the 5 of their papers we have counts for
5 papers
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…
Mutual Influence Regression Model
Xinyan Fan, Wei Lan, Tao Zou +1
In this article, we propose the mutual influence regression model (MIR) to establish the relationship between the mutual influence matrix of actors and a set of similarity matrices…
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…
Estimation and testing for partially linear single-index models
Hua Liang, Xiang Liu, Runze Li +1
In partially linear single-index models, we obtain the semiparametrically efficient profile least-squares estimators of regression coefficients. We also employ the smoothly clipped…