31 citations · 42 across the 8 of their papers we have counts for
8 papers
GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering
Zhaoyu Xing, Yang Wan, Juan Wen +1
It is important to identify the discriminative features for high dimensional clustering. However, due to the lack of cluster labels, the regularization methods developed for superv…
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
Pengfei Shi, Xinyu Zhang, Wei Zhong
We propose a model averaging approach, combined with a partition and matching method to estimate the conditional average treatment effects under heteroskedastic error settings. The…
Probability Weighted Clustered Coefficients Regression Models in Complex Survey Sampling
Mingjun Gang, Xin Wang, Zhonglei Wang +1
Regression analysis is commonly conducted in survey sampling. However, existing methods fail when the relationships vary across different areas or domains. In this paper, we propos…
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…
Estimation and Inference for Multi-Kink Quantile Regression
Wei Zhong, Chuang Wan, Wenyang Zhang
The Multi-Kink Quantile Regression (MKQR) model is an important tool for analyzing data with heterogeneous conditional distributions, especially when quantiles of response variable…
A Distribution-Free Test of Independence and Its Application to Variable Selection
Hengjian Cui, Wei Zhong
Motivated by the importance of measuring the association between the response and predictors in high dimensional data, In this article, we propose a new mean variance test of indep…