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Efficient Treatment Effect Estimation with Dimension Reduction
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Efficient Treatment Effect Estimation with Dimension Reduction. |
| 개인저자 | Zhang, Ying. |
| 단체저자명 | The University of Wisconsin - Madison. Statistics. |
| 발행사항 | [S.l.]: The University of Wisconsin - Madison., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 104 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-09B(E). Dissertation Abstract International |
| ISBN | 9780355930795 |
| 학위논문주기 | Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Advisers: Jun Shao |
| 요약 | Estimation of average and quantile treatment effects is crucial in causal inference for evaluation of treatments or interventions in biomedical, economic, and social studies. Under the assumption of treatment and potential outcomes are independe |
| 일반주제명 | Statistics. Biostatistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
