300 citations · 1.1k across the 12 of their papers we have counts for
12 papers
A General Framework For Frequentist Model Averaging
Priyam Mitra, Heng Lian, Ritwik Mitra +2
Model selection strategies have been routinely employed to determine a model for data analysis in statistics, and further study and inference then often proceed as though the selec…
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang, Yixin Fang, Heng Lian +1
We consider an additive partially linear framework for modelling massive heterogeneous data. The major goal is to extract multiple common features simultaneously across all sub-pop…
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…