Zobrazeno 1 - 10
of 409
pro vyhledávání: '"Zhu, Zhongyi"'
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
While extensive research has been conducted on high-dimensional data and on regression with left-censored responses, simultaneously addressing these complexities remains challenging, with only a few proposed methods available. In this paper, we utili
Externí odkaz:
http://arxiv.org/abs/2405.02539
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
Autor:
Wang, Na, Xu, Qian, Ma, Jun, Liu, Zhiyong, Liu, Qi, Zhang, Hailong, Pei, Xin, Chen, Maozheng, Manchester, Richard N., Lee, Kejia, Zheng, Xingwu, Kärcher, Hans J., Zhao, Wulin, Li, Hongwei, Li, Dongwei, Süss, Martin, Reichert, Matthias, Zhu, Zhongyi, Wang, Congsi, Li, Mingshuai, Li, Rui, Li, Ning, Kazezkhan, Guljaina, Yan, Wenming, Wu, Gang, Cui, Lang, Zhang, Ming, Li, Haitao
Publikováno v:
Sci China-Phys Mech Astron, 2023, 66: 289512
This study presents a general outline of the Qitai radio telescope (QTT) project. Qitai, the site of the telescope, is a county of Xinjiang Uygur Autonomous Region of China, located in the east Tianshan Mountains at an elevation of about 1800 m. The
Externí odkaz:
http://arxiv.org/abs/2310.07163
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
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
Autor:
Zeng, Jiaming, Lv, Hui, Zhu, Zhongyi, Dong, Shilin, Liu, Yaopeng, Feng, Xiaodong, Li, Wei, Shao, Lian
Publikováno v:
In Structures November 2024 69
Autor:
Zeng, Jiaming, Lv, Hui, Zhu, Zhongyi, Dong, Shilin, Liu, Yaopeng, Feng, Xiaodong, Li, Wei, Shao, lian
Publikováno v:
In Thin-Walled Structures December 2024 205 Part B
Measurement errors usually arise during the longitudinal data collection process. Ignoring the effects of measurement errors will lead to invalid estimates. The Lifestyle Education for Activity and Nutrition (LEAN) study was designed to assess the ef
Externí odkaz:
http://arxiv.org/abs/2110.02449
Publikováno v:
In Structures July 2024 65