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Interpretable and Scalable Graphical Models for Complex Spatio-Temporal Processes.
Interpretable and Scalable Graphical Models for Complex Spatio-Temporal Processes.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016620460
- International Standard Book Number
- 9798845455086
- Dewey Decimal Classification Number
- 310
- Main Entry-Personal Name
- Wang, Yu.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Michigan., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 242 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
- General Note
- Advisor: Chen, Yang;Hero, Alfred O., III.
- Dissertation Note
- Thesis (Ph.D.)--University of Michigan, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Restrictions on Access Note
- This item must not be added to any third party search indexes.
- Subject Added Entry-Topical Term
- Statistics.
- Subject Added Entry-Topical Term
- Applied mathematics.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Information science.
- Index Term-Uncontrolled
- Spatio-temporal modeling
- Index Term-Uncontrolled
- High-dimensional statistics
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Covariance estimation
- Index Term-Uncontrolled
- Probabilistic graphical model
- Added Entry-Corporate Name
- University of Michigan Statistics
- Host Item Entry
- Dissertations Abstracts International. 84-04A.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:626717
MARC
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■020 ▼a9798845455086
■035 ▼a(MiAaPQ)AAI29730282
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aWang, Yu.
■24510▼aInterpretable and Scalable Graphical Models for Complex Spatio-Temporal Processes.
■260 ▼a[S.l.]▼bUniversity of Michigan. ▼c2022
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2022
■300 ▼a242 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-04, Section: A.
■500 ▼aAdvisor: Chen, Yang;Hero, Alfred O., III.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2022.
■506 ▼aThis item must not be sold to any third party vendors.
■506 ▼aThis item must not be added to any third party search indexes.
■590 ▼aSchool code: 0127.
■650 4▼aStatistics.
■650 4▼aApplied mathematics.
■650 4▼aComputer science.
■650 4▼aInformation science.
■653 ▼aSpatio-temporal modeling
■653 ▼aHigh-dimensional statistics
■653 ▼aMachine learning
■653 ▼aCovariance estimation
■653 ▼aProbabilistic graphical model
■690 ▼a0463
■690 ▼a0364
■690 ▼a0984
■690 ▼a0723
■71020▼aUniversity of Michigan▼bStatistics.
■7730 ▼tDissertations Abstracts International▼g84-04A.
■773 ▼tDissertation Abstract International
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2022
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16620460▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202302▼f2023
