Výsledky vyhledávání - "Zhang, Yijiao"

Report

Individualized Dynamic Mediation Analysis Using Latent Factor Models

Autor: Zhang, Yijiao, Yuan, Yubai, Zhang, Yuexia, Zhu, Zhongyi, Qu, Annie

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 that mediation effects are static and homogeneous within populations.

Externí odkaz: http://arxiv.org/abs/2405.17591

Zobrazit plný text záznamu

Report

Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior

Autor: Zhang, Ruqian, Zhang, Yijiao, Qu, Annie, Zhu, Zhongyi, Shen, Juan

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 global similarity measure between the source data and the target dat

Externí odkaz: http://arxiv.org/abs/2404.03764

Zobrazit plný text záznamu

Report

A Data Fusion Method for Quantile Treatment Effects

Autor: Zhang, Yijiao, Zhu, Zhongyi

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 to many scientific fields. In this paper, we consider estimating the

Externí odkaz: http://arxiv.org/abs/2307.07918

Zobrazit plný text záznamu

Report

Transfer Learning for High-dimensional Quantile Regression via Convolution Smoothing

Autor: Zhang, Yijiao, Zhu, Zhongyi

This paper studies the high-dimensional quantile regression problem under the transfer learning framework, where possibly related source datasets are available to make improvements on the estimation or prediction based solely on the target data. In t

Externí odkaz: http://arxiv.org/abs/2212.00428

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání