300 citations · 1.1k across the 12 of their papers we have counts for
9 papers · 1 filter
Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates
Shujie Ma, Raymond J. Carroll, Hua Liang +1
In the low-dimensional case, the generalized additive coefficient model (GACM) proposed by Xue and Yang [Statist. Sinica 16 (2006) 1423-1446] has been demonstrated to be a powerful…
Semiparametric GEE analysis in partially linear single-index models for longitudinal data
Jia Chen, Degui Li, Hua Liang +1
In this article, we study a partially linear single-index model for longitudinal data under a general framework which includes both the sparse and dense longitudinal data cases. A…
Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
Li Wang, Lan Xue, Annie Qu +1
We propose generalized additive partial linear models for complex data which allow one to capture nonlinear patterns of some covariates, in the presence of linear components. The p…
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…
Estimation and variable selection for generalized additive partial linear models
Li Wang, Xiang Liu, Hua Liang +1
We study generalized additive partial linear models, proposing the use of polynomial spline smoothing for estimation of nonparametric functions, and deriving quasi-likelihood based…
Focused information criterion and model averaging for generalized additive partial linear models
Xinyu Zhang, Hua Liang
We study model selection and model averaging in generalized additive partial linear models (GAPLMs). Polynomial spline is used to approximate nonparametric functions. The correspon…