134 citations · 137 across the 5 of their papers we have counts for
5 papers
Covariance Regression with High-Dimensional Predictors
Yuheng He, Changliang Zou, Yi Zhao
In the high-dimensional landscape, addressing the challenges of covariance regression with high-dimensional covariates has posed difficulties for conventional methodologies. This p…
Leverage classifier: Another look at support vector machine
Yixin Han, Jun Yu, Nan Zhang +4
Support vector machine (SVM) is a popular classifier known for accuracy, flexibility, and robustness. However, its intensive computation has hindered its application to large-scale…
Statistical Inference for Ultrahigh Dimensional Location Parameter Based on Spatial Median
Guanghui Cheng, Liuhua Peng, Changliang Zou
Motivated by the widely used geometric median-of-means estimator in machine learning, this paper studies statistical inference for ultrahigh dimensionality location parameter based…
Multi-Kink Quantile Regression for Longitudinal Data with Application to the Progesterone Data Analysis
Chuang Wan, Wei Zhong, Wenyang Zhang +1
Motivated by investigating the relationship between progesterone and the days in a menstrual cycle in a longitudinal study, we propose a multi-kink quantile regression model for lo…
Nonparametric maximum likelihood approach to multiple change-point problems
Changliang Zou, Guosheng Yin, Long Feng +1
In multiple change-point problems, different data segments often follow different distributions, for which the changes may occur in the mean, scale or the entire distribution from…