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Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation. |
| 개인저자 | Dunipace, Eric A. |
| 단체저자명 | Harvard University. Biostatistics. |
| 발행사항 | [S.l.]: Harvard University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 199 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-01B. Dissertation Abstract International |
| ISBN | 9798534671827 |
| 학위논문주기 | Thesis (Ph.D.)--Harvard University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
Advisor: Zubizarreta, Jose;Trippa, Lorenzo. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Biostatistics. Statistics. Computer science. Standard deviation. Simulation. Experiments. Generalized linear models. Neural networks. Algorithms. Performance evaluation. Case studies. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
