233 citations · 315 across the 7 of their papers we have counts for
7 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…
Sparse Estimation of Generalized Linear Models (GLM) via Approximated Information Criteria
Xiaogang Su, Juanjuan Fan, Richard A. Levine +2
We propose a new sparse estimation method, termed MIC (Minimum approximated Information Criterion), for generalized linear models (GLM) in fixed dimensions. What is essentially inv…
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…
Contour projected dimension reduction
Ronghua Luo, Hansheng Wang, Chih-Ling Tsai
In regression analysis, we employ contour projection (CP) to develop a new dimension reduction theory. Accordingly, we introduce the notions of the central contour subspace and gen…