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Structured Latent Factor Models: Identifiability, Estimation, Inference and Prediction
Structured Latent Factor Models: Identifiability, Estimation, Inference and Prediction
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210092842
- ISBN
- 9798516921827
- DDC
- 310
- 저자명
- Bing, Xin.
- 서명/저자
- Structured Latent Factor Models: Identifiability, Estimation, Inference and Prediction
- 발행사항
- [Sl] : Cornell University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 299 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
- 주기사항
- Advisor: Bunea, Florentina;Wegkamp, Marten.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Statistics
- 키워드
- Pure variables
- 기타저자
- Cornell University Statistics
- 기본자료저록
- Dissertations Abstracts International. 83-01B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210092842
■020 ▼a9798516921827
■035 ▼a(MiAaPQ)AAI28416296
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aBing, Xin.▼0(orcid)0000-0001-7462-9360
■24510▼aStructured Latent Factor Models: Identifiability, Estimation, Inference and Prediction
■260 ▼a[Sl]▼bCornell University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a299 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-01, Section: B.
■500 ▼aAdvisor: Bunea, Florentina;Wegkamp, Marten.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0058.
■650 4▼aStatistics
■653 ▼aAdaptive estimation
■653 ▼aHigh-dimensional statistics
■653 ▼aLatent factor models
■653 ▼aOverlapping clustering
■653 ▼aPrincipal component regression
■653 ▼aPure variables
■690 ▼a0463
■71020▼aCornell University▼bStatistics.
■7730 ▼tDissertations Abstracts International▼g83-01B.
■773 ▼tDissertation Abstract International
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051620▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
