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
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
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 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
Assessing the predictive power of newly added biomarkers
, Biometrical Journal
, 2015
, 57(5): 797-807
A general AUC-type measure and biomarker selection
, Statistics in Biopharmaceutical Research
, 2014
, 6: 89-103
Sequential estimate for linear regression models with uncertain number of effective variables
, Metrika
, 2013
, 76(7): 949-978
Alignment of protein mass spectrometry data by integrated Markov chain shifting method
, Statistics and Its Interface
, 2009
, 2: 329-340
Distribution Approximation o f Shrinkage Estimate in Censored Regression Model via Randomly Weighting Method
, Acta Mathematicae Applicatae Sinica
, 2019
, 35(2): 421-434
A relative error estimation approach for multiplicative single index model
, Journal of Systems Science and Complexity--English Series
, 2017
, 30: 1160-1172