3 citations · 3 across the 12 of their papers we have counts for
12 papers
Revisiting dependence in multiple testing: empirical distribution approaches for FDP control
Fangyong Zheng, Pengfei Li, Yuan Jiang +1
Large-scale multiple hypothesis testing is central to the analysis of high-throughput data, where controlling false discoveries is critical. Classical procedures typically rely on…
A semiparametric two-sample homogeneity test with nonignorable nonresponse using callback data
Xinyu Wang, Tao Yu, Chunlin Wang +1
Testing the homogeneity of two distributions is fundamental in statistics, but classical procedures may fail under nonignorable nonresponse. In many surveys, callback data record r…
Semiparametric inference for inequality measures under nonignorable nonresponse using callback data
Xinyu Wang, Chunlin Wang, Tao Yu +1
This paper develops semiparametric methods for estimation and inference of widely used inequality measures when survey data are subject to nonignorable nonresponse, a challenging s…
Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
Fangyong Zheng, Pengfei Li, Tao Yu
In medical diagnostics, leveraging multiple biomarkers can significantly improve classification accuracy compared to using a single biomarker. While existing methods based on expon…
Receiver operating characteristic curve analysis with non-ignorable missing disease status
Dingding Hu, Tao Yu, Pengfei Li
This article considers the receiver operating characteristic (ROC) curve analysis for medical data with non-ignorable missingness in the disease status. In the framework of the log…
Shape-restricted transfer learning analysis for generalized linear regression model
Pengfei Li, Tao Yu, Chixiang Chen +1
Transfer learning has emerged as a highly sought-after and actively pursued research area within the statistical community. The core concept of transfer learning involves leveragin…
Statistical inference for the two-sample problem under likelihood ratio ordering, with application to the ROC curve estimation
Dingding Hu, Meng Yuan, Tao Yu +1
The receiver operating characteristic (ROC) curve is a powerful statistical tool and has been widely applied in medical research. In the ROC curve estimation, a commonly used assum…
Maximum profile binomial likelihood estimation for the semiparametric Box--Cox power transformation model
Pengfei Li, Tao Yu, Baojiang Chen +1
The Box--Cox transformation model has been widely applied for many years. The parametric version of this model assumes that the random error follows a parametric distribution, say…
Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model
Tao Yu, Pengfei Li, Baojiang Chen +2
In this paper, we study the linear transformation model in the most general setup. This model includes many important and popular models in statistics and econometrics as special c…
Test for homogeneity with unordered paired observations
Jiahua Chen, Pengfei Li, Jing Qin +1
In some applications, an experimental unit is composed of two distinct but related subunits. The response from such a unit is but we observe only $Y_1 = \min\{X_{1…
Maximum Smoothed Likelihood Component Density Estimation in Mixture Models with Known Mixing Proportions
Tao Yu, Pengfei Li, Jing Qin
In this paper, we propose a maximum smoothed likelihood method to estimate the component density functions of mixture models, in which the mixing proportions are known and may diff…
Local tests for identifying anisotropic diffusion areas in human brain with DTI
Tao Yu, Chunming Zhang, Andrew L. Alexander +1
Diffusion tensor imaging (DTI) plays a key role in analyzing the physical structures of biological tissues, particularly in reconstructing fiber tracts of the human brain in vivo.…