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Tensor-Related Methods in High Dimensional Statistics
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Tensor-Related Methods in High Dimensional Statistics. |
| 개인저자 | Chen, Han. |
| 단체저자명 | The University of Wisconsin - Madison. Statistics. |
| 발행사항 | [S.l.]: The University of Wisconsin - Madison., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 115 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438077782 |
| 학위논문주기 | Thesis (Ph.D.)--The University of Wisconsin - Madison, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Ming Yuan. |
| 요약 | This dissertation consists of several tensor-related statistical problems. Chapter 2 studied non-convex constraint approach in solving generalized tensor-regression problem. A general framework was developed to analyze theoretical guarantee for |
| 일반주제명 | Statistics. Mathematics. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
