activity
20062019
most citedEstimation and variable selection for generalized additive partial linear models

127 citations · 382 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2019★ 6 cited

Simultaneous Confidence Band for Stationary Covariance Function of Dense Functional Data

Jiangyan Wang, Guanqun Cao, Li Wang +1

Inference via simultaneous confidence band is studied for stationary covariance function of dense functional data. A two-stage estimation procedure is proposed based on spline appr…

math.ST2014★ 67 cited

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…

math.ST2013★ 40 cited

Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data

Shujie Ma, Qiongxia Song, Li Wang

We consider the problem of simultaneous variable selection and estimation in additive, partially linear models for longitudinal/clustered data. We propose an estimation procedure v…

math.ST2011★ 127 cited

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…

stat.ME2011★ 20 cited

Nonparametric Additive Model-assisted Estimation for Survey Data

Li Wang, Suojin Wang

An additive model-assisted nonparametric method is investigated to estimate the finite population totals of massive survey data with the aid of auxiliary information. A class of es…

stat.ME2008★ 14 cited

Single-Index Model-Assisted Estimation In Survey Sampling

Lily Wang

A model-assisted semiparametric method of estimating finite population totals is investigated to improve the precision of survey estimators by incorporating multivariate auxiliary…