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Adaptive multi-fidelity polynomial chaos approach to ...
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由 L Yan 著作2019被引用 116 次 — A locally adaptive procedure to construct a multi-fidelity surrogate for Bayesian inference in inverse problems.
Adaptive multi-fidelity polynomial chaos approach to ...
arXiv
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由 L Yan 著作2018被引用 116 次 — The key idea is to construct and refine the multi-fidelity approach over a sequence of samples adaptively determined form data, so that the ...
Adaptive multi-fidelity polynomial chaos approach to ...
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由 L Yan 著作2019被引用 116 次 — We have developed an efficient adaptive multi-fidelity approach for solving Bayesian inverse problems when the forward model evaluation is computationally ...
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Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems. L Yan, T Zhou. Journal of Computational Physics 381, 110-128 ...
Professor - People - 计算数学与科学 ...
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Liang Yan and Tao Zhou, Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems, J. Comput. Phys., 381: 110-128, 2019 ...
Liang Yan
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Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems. L Yan, T Zhou. Journal of Computational Physics 381, 110-128, 2019.
arXiv:1807.00618v2 [math.NA] 7 Dec 2018
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由 L Yan 著作2018被引用 116 次 — Abstract. The polynomial chaos (PC) expansion has been widely used as a surrogate model in the Bayesian inference to speed up the Markov ...
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学术报告--周涛研究员 - 数学科学学院
中国海洋大学
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2020年8月23日 — 摘要：The generalized polynomial chaos (gPC) are widely used as surrogate models in Bayesian inference to speed up the Markov chain Monte ...
Adaptive multi-fidelity surrogatemodeling for Bayesian ...
吉林大学
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2020年6月12日 — 报告题目：Adaptive multi-fidelity surrogatemodeling for Bayesian inference in inverse problems. 报告人：周涛中国科学院数学与系统科学研究院.
Bayesian inversion using adaptive Polynomial Chaos ...
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In this paper, we propose a Bayesian inversion approach combining adaptive Polynomial Chaos Kriging (PCK) surrogate models and a rare event estimation ...
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