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Methods and Theory for Nonparametric Inference in High-Dimensional Settings.
Methods and Theory for Nonparametric Inference in High-Dimensional Settings.
- 자료유형
- 학위논문
- Control Number
- 0016052788
- International Standard Book Number
- 9798535507071
- Dewey Decimal Classification Number
- 574
- Main Entry-Personal Name
- Xiang, Yunhua.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Washington., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 147 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- General Note
- Advisor: Simon, Noah.
- Dissertation Note
- Thesis (Ph.D.)--University of Washington, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Biostatistics.
- Subject Added Entry-Topical Term
- Statistics.
- Subject Added Entry-Topical Term
- Biology.
- Subject Added Entry-Topical Term
- Artificial intelligence.
- Subject Added Entry-Topical Term
- Students.
- Subject Added Entry-Topical Term
- Hypotheses.
- Subject Added Entry-Topical Term
- Normal distribution.
- Subject Added Entry-Topical Term
- Dissertations & theses.
- Subject Added Entry-Topical Term
- Variables.
- Subject Added Entry-Topical Term
- Advisors.
- Subject Added Entry-Topical Term
- Confidence intervals.
- Subject Added Entry-Topical Term
- Bias.
- Index Term-Uncontrolled
- Graphical modeling
- Index Term-Uncontrolled
- High-dimensional inference
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Matrix completion
- Added Entry-Corporate Name
- University of Washington Biostatistics - Public Health
- Host Item Entry
- Dissertations Abstracts International. 83-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:612517
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