Estimation and Model Selection for Nonparametric Function-on-Function Regression , Journal of Computational and Graphical Statistics , 2022 , 31(3): 835-845

Incorporating graphical structure of predictors in sparse quantile regression , Journal of Business & Economic Statistics , 2021 , 39(3): 783-792

Sequential adaptive variables and subject selection for GEE methods , Biometrics , 2020 , 76(2): 496-507

Robust inference for subgroup analysis with general transformation models , Journal of Statistical Planning and Inference , 2024 , 229106100

A threshold longitudinal Tobit quantile regression model for identification of treatment-sensitive subgroups based on interval-bounded longitudinal measurements and a continuous covariate , Statistics in Medicine , 2023 , 42: 4618-4631

Nonparametric random effects functional regression model using Gaussian process priors , Statistica Sinica , 2021 , 31(1): 53-78

A general robust t-process regression model , Computational Statistics and Data Analysis , 2021 , 154

Active learning in multiple-class classification problems via individualized binary models , Computational Statistics and Data Analysis , 2020 , 145

Tobit quantile regression of left-censored longitudinal data with informative observation times , Statistica Sinica , 2018 , 28: 527-548

Extended t-process regression models , Journal of Statistical Planning and Inference , 2017 , 189: 38-60

Group Variable Selection for Relative Error Regression , Journal of Statistical Planning and Inference , 2016 , 175: 40-50

Least product relative error estimation , Journal of Multivariate Analysis , 2016 , 144: 91-98

Random weighting approximation for Tobit regression models withlongitudinal data , Computational Statistics and Data Analysis , 2014 , 79: 235-247

Group variable selection and estimation in the tobit censored response model , Computational Statistics and Data Analysis , 2013 , 60: 80-89

Marker selection via maximizing the partial area under the ROC curve of linear risk scores , Biostatistics , 2011 , 12(2): 369-385

Minimum -divergence estimator and hierarchical testing in loglinear models under product-multinomial sampling , Journal of Statistical Planning and Inference , 2009 , 139: 3488-3500

Distributed sequential estimation procedures , Canadian Journal of Statistics , 2024 , 52: 271-290

Active learning with logistic models featuring simultaneous variable and subject selection , Communications in Statistics- Simulation and Computation , 2024 , 53(2): 897-911

A robust estimation for the extended t-process regression model , Statistics and Probability Letters , 2020 , 157

A relative error-based estimation with an increasing number of parameters , Communications in Statistics- Theory and Methods , 2018 , 47: 196-209

Tobit regression model with parameters of increasing dimensions , Statistics and Probability Letters , 2017 , 120: 1-7

Asymptotic properties of maximum likelihood estimator for two-step logit models , Statistics and Probability Letters , 2014 , 85: 135-143

A parsimonious threshold independent protein feature selection method through the area under receiver operating characteristic urve , Bioinformatics , 2007 , 23(20): 2788-2794

A nonparametric concurrent regression model with multivariate functional inputs , Statistics and Its Interface , 2024 , 17: 69-78

Composite T-Process Regression Models , Communications in Mathematics and Statistics , 2023 , 11: 307-323

A joint model for longitudinal outcomes with potential ceiling and floor effects and survival times， with applications to analysis of quality of life data from a cancer clinical trial , Stat , 2022 , 11(e412): 1-11

Bayesian Estimation for the Extended t -process Regression Models with Independent Errors , Communications in Mathematics and Statistics , 2021 , 9(3): 261-272

H-relative error estimation for multiplicative regression model with random effect , Computational Statistics , 2018 , 33: 623-638

Assessing the Diagnostic Power of Variables Measured with a Detection Limit , Computational Statistics , 2016 , 31: 1287-1303

A change-point problem in relative error-based regression , Test , 2015 , 24(5): 835-856