222 citations · 226 across the 6 of their papers we have counts for
6 papers
A Data Fusion Method for Quantile Treatment Effects
Yijiao Zhang, Zhongyi Zhu
With the increasing availability of datasets, developing data fusion methods to leverage the strengths of different datasets to draw causal effects is of great practical importance…
Transfer Learning for High-dimensional Quantile Regression via Convolution Smoothing
Yijiao Zhang, Zhongyi Zhu
This paper studies the high-dimensional quantile regression problem under the transfer learning framework, where possibly related source datasets are available to make improvements…
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study
Yuexia Zhang, Guoyou Qin, Zhongyi Zhu +1
Measurement errors usually arise during the longitudinal data collection process. Ignoring the effects of measurement errors will lead to invalid estimates. The Lifestyle Education…
Weak signal identification and inference in penalized likelihood models for categorical responses
Yuexia Zhang, Peibei Shi, Zhongyi Zhu +2
Penalized likelihood models are widely used to simultaneously select variables and estimate model parameters. However, the existence of weak signals can lead to inaccurate variable…
Spatially Clustered Varying Coefficient Model
Fangzheng Lin, Yanlin Tang, Huichen Zhu +1
In various applications with large spatial regions, the relationship between the response variable and the covariates is expected to exhibit complex spatial patterns. We propose a…
Quantile regression in partially linear varying coefficient models
Huixia Judy Wang, Zhongyi Zhu, Jianhui Zhou
Semiparametric models are often considered for analyzing longitudinal data for a good balance between flexibility and parsimony. In this paper, we study a class of marginal partial…