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Statistical Learning of Integrative Analysis
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Jiang, Meilei. |
| 단체저자명 | The University of North Carolina at Chapel Hill. Statistics and Operations Research. |
| 서명/저자사항 | Statistical Learning of Integrative Analysis. |
| 발행사항 | [S.l.] : The University of North Carolina at Chapel Hill., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 138 p. |
| 소장본 주기 | School code: 0153. |
| ISBN | 9780438348400 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: J. S. Marron |
| 요약 | Integrative analysis is of great interest in modern scientific research. This dissertation mainly focuses on developing new statistical methods for integrative analysis. |
| 요약 | We first discuss a clustering analysis of a microbiome dataset in combination with phylogenetic information. Discovering disease related pneumotypes of the infected lower lung is difficult because the lower lung typically has few species of micr |
| 요약 | In the second part, we discuss an integrative analysis of disparate data blocks measured on a common set of experimental subjects. We introduce Angle-Based Joint and Individual Variation Explained (AJIVE) capturing both joint and individual vari |
| 요약 | In the third part, we introduce a new perturbation framework, which estimates the angle between an arbitrary given direction and the underlying signal spaces. We also propose an efficient data-driven bootstrap procedure to compute this angle. Wh |
| 일반주제명 | Statistics. Mathematics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999331 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026408 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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