activity
20082011
most citedVariable selection in semiparametric regression modeling

300 citations · 640 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2011132 cited

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…

math.ST201054 cited

Penalized variable selection procedure for Cox models with semiparametric relative risk

Pang Du, Shuangge Ma, Hua Liang

We study the Cox models with semiparametric relative risk, which can be partially linear with one nonparametric component, or multiple additive or nonadditive nonparametric compone…

stat.AP201046 cited

Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model

Hua Liang, Hongyu Miao, Hulin Wu

Modeling viral dynamics in HIV/AIDS studies has resulted in a deep understanding of pathogenesis of HIV infection from which novel antiviral treatment guidance and strategies have…

math.ST2009108 cited

Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates

Yong Zhou, Hua Liang

We study semiparametric varying-coefficient partially linear models when some linear covariates are not observed, but ancillary variables are available. Semiparametric profile leas…

math.ST2008300 cited

Variable selection in semiparametric regression modeling

Runze Li, Hua Liang

In this paper, we are concerned with how to select significant variables in semiparametric modeling. Variable selection for semiparametric regression models consists of two compone…