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Bayesian adaptation of chaos representations using variational inference and sampling on geodesics
A novel approach is presented for constructing polynomial chaos representations of scalar quantities of interest (QoI) that extends previously developed methods for adaptation in Homogeneous Chaos spaces. In this work, we develop a Bayesian formulation of the problem that characterizes the posterior...
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| 出版年: | Proc Math Phys Eng Sci |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Royal Society Publishing
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6189593/ https://ncbi.nlm.nih.gov/pubmed/30333707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2018.0285 |
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