55 citations · 111 across the 4 of their papers we have counts for
6 papers
Statistical Inference for Functional Linear Quantile Regression
Peijun Sang, Zuofeng Shang, Pang Du
We propose inferential tools for functional linear quantile regression where the conditional quantile of a scalar response is assumed to be a linear functional of a functional cova…
Sparse logistic regression on functional data
Yunnan Xu, Pang Du, John Robertson +1
Motivated by a hemodialysis monitoring study, we propose a logistic model with a functional predictor, called the Sparse Functional Logistic Regression (SFLR), where the correspond…
Minimax Nonparametric Two-sample Test under Smoothing
Xin Xing, Zuofeng Shang, Pang Du +3
We consider the problem of comparing probability densities between two groups. A new probabilistic tensor product smoothing spline framework is developed to model the joint density…
Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework
Xiaoxiao Sun, Pang Du, Xiao Wang +1
Many scientific studies collect data where the response and predictor variables are both functions of time, location, or some other covariate. Understanding the relationship betwee…
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth
Pang Du, Zheyuan Sun, Huashan Chen +2
The accurate measurement of security metrics is a critical research problem because an improper or inaccurate measurement process can ruin the usefulness of the metrics, no matter…
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…