Hua Liang

29 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-1916-4198

Department of Statistics, George Washington University, Washington, DC

Publications

• Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation — Journal of the American Statistical Association 2025 (name-matched, not ORCID-linked)
• Improving Tensor Regression by Optimal Model Averaging — Journal of the American Statistical Association 2025 (name-matched, not ORCID-linked)
• Parsimonious Model Averaging With a Diverging Number of Parameters — Journal of the American Statistical Association 2020 (name-matched, not ORCID-linked)
• Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data — Journal of the American Statistical Association 2018 (name-matched, not ORCID-linked)
• Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models — Journal of the American Statistical Association 2016 (name-matched, not ORCID-linked)
• Variance function partially linear single-index models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015 (name-matched, not ORCID-linked)
• Semiparametric GEE analysis in partially linear single-index models for longitudinal data — The Annals of Statistics 2015 (name-matched, not ORCID-linked)
• Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates — The Annals of Statistics 2015 (name-matched, not ORCID-linked)
• Model averaging and weight choice in linear mixed-effects models — Biometrika 2014 (name-matched, not ORCID-linked)
• Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates — The Annals of Statistics 2014 (name-matched, not ORCID-linked)
• Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling — Journal of the American Statistical Association 2014 (name-matched, not ORCID-linked)
• Estimation and variable selection for generalized additive partial linear models — The Annals of Statistics 2011 (name-matched, not ORCID-linked)
• Optimal Weight Choice for Frequentist Model Average Estimators — Journal of the American Statistical Association 2011 (name-matched, not ORCID-linked)
• High-Dimensional ODEs Coupled With Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification — Journal of the American Statistical Association 2011 (name-matched, not ORCID-linked)
• Focused information criterion and model averaging for generalized additive partial linear models — The Annals of Statistics 2011 (name-matched, not ORCID-linked)
• Penalized variable selection procedure for Cox models with semiparametric relative risk — The Annals of Statistics 2010 (name-matched, not ORCID-linked)
• Estimation and testing for partially linear single-index models — The Annals of Statistics 2010 (name-matched, not ORCID-linked)
• Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model — The Annals of Applied Statistics 2010 (name-matched, not ORCID-linked)
• Correction — Journal of the American Statistical Association 2010 (name-matched, not ORCID-linked)
• Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates — The Annals of Statistics 2009 (name-matched, not ORCID-linked)
• Variable Selection for Partially Linear Models With Measurement Errors — Journal of the American Statistical Association 2009 (name-matched, not ORCID-linked)
• Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models — Journal of the American Statistical Association 2008 (name-matched, not ORCID-linked)
• Additive partial linear models with measurement errors — Biometrika 2008 (name-matched, not ORCID-linked)
• Variable selection in semiparametric regression modeling — The Annals of Statistics 2008 (name-matched, not ORCID-linked)
• A note on conditional aic for linear mixed-effects models — Biometrika 2008 (name-matched, not ORCID-linked)
• Partially linear models with missing response variables and error-prone covariates — Biometrika 2007 (name-matched, not ORCID-linked)
• Empirical-likelihood-based semiparametric inference for the treatment effect in the two-sample problem with censoring — Biometrika 2005 (name-matched, not ORCID-linked)
• Estimation in Partially Linear Models With Missing Covariates — Journal of the American Statistical Association 2004 (name-matched, not ORCID-linked)
• Estimation in a semiparametric partially linear errors-in-variables model — The Annals of Statistics 1999 (name-matched, not ORCID-linked)