Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Cao, Jianfei"'
Autor:
Kaji, Tetsuya, Cao, Jianfei
Treatment effect heterogeneity is of major interest in economics, but its assessment is often hindered by the fundamental lack of identification of the individual treatment effects. For example, we may want to assess the effect of insurance on the he
Externí odkaz:
http://arxiv.org/abs/2306.15048
Autor:
Feng, Hanlin, Niwa, Makoto, Cao, Jianfei, Kurata, Karin, Zhang, Shuo, Lim, Yenogjoo, Kim, Tack Joong, Guo, Xitong, Kageyama, Itsuki, Kodama, Kota
Publikováno v:
In Drug Discovery Today October 2024 29(10)
Autor:
Wang, Dongchao1 (AUTHOR), Cao, Jianfei1 (AUTHOR), Zhang, Baolei1 (AUTHOR) sdnuzbl@outlook.com, Kong, Kangning2 (AUTHOR), Wang, Run2 (AUTHOR)
Publikováno v:
PLoS ONE. 9/16/2024, Vol. 19 Issue 9, p1-22. 22p.
Autor:
Cao, Jianfei1 (AUTHOR), Liu, Wei2 (AUTHOR) 15953166805@163.com, Feng, Yongyu3 (AUTHOR), Liu, Jianhua4 (AUTHOR), Ni, Yuanlong2 (AUTHOR)
Publikováno v:
PLoS ONE. 8/1/2024, Vol. 19 Issue 8, p1-16. 16p.
This paper presents and analyzes an approach to cluster-based inference for dependent data. The primary setting considered here is with spatially indexed data in which the dependence structure of observed random variables is characterized by a known,
Externí odkaz:
http://arxiv.org/abs/2107.14677
XGBoost algorithm-assisted prediction of amorphous formability of Fe-based nanocrystalline precursor
Publikováno v:
In Intermetallics March 2024 166
Autor:
Cao, Jianfei1 (AUTHOR) cjf869419482@gmail.com, Feng, Hanlin2 (AUTHOR) gr0328ee@ed.ritsumei.ac.jp, Lim, Yeongjoo1 (AUTHOR) lim40@fc.ritsumei.ac.jp, Kodama, Kota3 (AUTHOR) kkodama@fc.ritsumei.ac.jp, Zhang, Shuo4 (AUTHOR) 18b310006@stu.hit.edu.cn
Publikováno v:
Behavioral Sciences (2076-328X). Jun2024, Vol. 14 Issue 6, p498. 15p.
Akademický článek
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Autor:
Hu, Xulin, Zhang, Zhen, Wu, Haoming, Yang, Shuhao, Zhao, Weiming, Che, Lanyu, Wang, Yao, Cao, Jianfei, Li, Kainan, Qian, Zhiyong
Publikováno v:
In Biomaterials Advances September 2023 152
Autor:
Cao, Jianfei, Lu, Shirley
We introduce a synthetic control methodology to study policies with staggered adoption. Many policies, such as the board gender quota, are replicated by other policy setters at different time frames. Our method estimates the dynamic average treatment
Externí odkaz:
http://arxiv.org/abs/1912.06320