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Detecting Latent Signal in High Dimensions: Estimation in Gaussian Mixtures and Nonparametric Models.
Inhalt Info
Detecting Latent Signal in High Dimensions: Estimation in Gaussian Mixtures and Nonparametric Models.
자료유형  
 학위논문
Control Number  
0016051048
International Standard Book Number  
9798538102419
Dewey Decimal Classification Number  
310
Main Entry-Personal Name  
Doss, Natalie C.
Publication, Distribution, etc. (Imprint  
[S.l.] : Yale University., 2020
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2020
Physical Description  
207 p.
General Note  
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
General Note  
Advisor: Zhou, Harrison H.
Dissertation Note  
Thesis (Ph.D.)--Yale University, 2020.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Statistics.
Subject Added Entry-Topical Term  
Mathematics.
Subject Added Entry-Topical Term  
Sample size.
Subject Added Entry-Topical Term  
Noise.
Subject Added Entry-Topical Term  
Datasets.
Subject Added Entry-Topical Term  
Random variables.
Subject Added Entry-Topical Term  
Algorithms.
Subject Added Entry-Topical Term  
Optimization.
Subject Added Entry-Topical Term  
Parameter estimation.
Index Term-Uncontrolled  
Gaussian mixtures
Index Term-Uncontrolled  
Dimension reduction
Index Term-Uncontrolled  
Density estimation
Added Entry-Corporate Name  
Yale University Statistics and Data Science
Host Item Entry  
Dissertations Abstracts International. 83-03B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:609975
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