3 citations · 3 across the 5 of their papers we have counts for
5 papers
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
Ruiqi Bai, Yijiao Zhang, Hanbo Yang +1
Information from related source studies can often enhance the findings of a target study. However, the distribution shift between target and source studies can severely impact the…
Individualized Dynamic Mediation Analysis Using Latent Factor Models
Yijiao Zhang, Yubai Yuan, Yuexia Zhang +2
Mediation analysis plays a crucial role in causal inference as it can investigate the pathways through which treatment influences outcome. Most existing mediation analysis assumes…
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
Ruqian Zhang, Yijiao Zhang, Annie Qu +2
The popularity of transfer learning stems from the fact that it can borrow information from useful auxiliary datasets. Existing statistical transfer learning methods usually adopt…
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…