The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models

Journal of Computational and Graphical Statistics

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Main Authors: Willem van den Boom, Alexandros Beskos, Maria De Iorio
其他作者: DEAN'S OFFICE (YALE-NUS COLLEGE)
格式: Article
出版: Taylor & Francis 2022
在線閱讀:https://scholarbank.nus.edu.sg/handle/10635/235556
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spelling sg-nus-scholar.10635-2355562024-11-11T11:03:34Z The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models Willem van den Boom Alexandros Beskos Maria De Iorio DEAN'S OFFICE (YALE-NUS COLLEGE) STATISTICS & APPLIED PROBABILITY YALE-NUS COLLEGE Journal of Computational and Graphical Statistics 31 4 1215-1224 2022-12-14T02:26:13Z 2022-12-14T02:26:13Z 2022-04-04 Article Willem van den Boom, Alexandros Beskos, Maria De Iorio (2022-04-04). The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models. Journal of Computational and Graphical Statistics 31 (4) : 1215-1224. ScholarBank@NUS Repository. 1061-8600 https://scholarbank.nus.edu.sg/handle/10635/235556 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Journal of Computational and Graphical Statistics
author2 DEAN'S OFFICE (YALE-NUS COLLEGE)
author_facet DEAN'S OFFICE (YALE-NUS COLLEGE)
Willem van den Boom
Alexandros Beskos
Maria De Iorio
format Article
author Willem van den Boom
Alexandros Beskos
Maria De Iorio
spellingShingle Willem van den Boom
Alexandros Beskos
Maria De Iorio
The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
author_sort Willem van den Boom
title The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
title_short The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
title_full The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
title_fullStr The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
title_full_unstemmed The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
title_sort g-wishart weighted proposal algorithm: efficient posterior computation for gaussian graphical models
publisher Taylor & Francis
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/235556
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