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Quantification of Multiple Types of Uncertainty in Computer Simulation Using Bayesian Model Averaging

机译：使用贝叶斯模型平均对计算机仿真中的多种不确定性进行量化

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《AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference;AIAA/ASME/AHS Adaptive Structures Conference;AIAA Non-Deterministic Approaches Conference;AIAA Gossamer Systems Forum;AIAA Multidisciplinary Design Optimization Specialist Conference》|2010年|P.1-12|共12页
会议地点 Orlando, FL(US);Orlando, FL(US);Orlando, FL(US);Orlando, FL(US);Orlando, FL(US)
作者
I. Park; R. Grandhi;
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Wright State University Dayton OH;

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专利

1. Quantifying Multiple Types of Uncertainty in Physics-Based Simulation Using Bayesian Model Averaging [J] . Inseok Park, Ramana V. Grandhi AIAA Journal . 2011,第5期

机译：使用贝叶斯模型平均对基于物理的仿真中的多种不确定性进行量化
2. Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach [J] . Xiao H., Wu J. -L., Wang J. -X., Journal of Computational Physics . 2016,第Null期

机译：量化和减少雷诺平均Navier-Stokes模拟中模型形式的不确定性：一种数据驱动的，基于物理的贝叶斯方法
3. Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks [J] . Geneva Nicholas, Zabaras Nicholas Journal of Computational Physics . 2019,第期

机译：贝叶斯深神经网络量化模型在雷诺平均湍流模型中形成不确定性
4. Quantification of Multiple Types of Uncertainty in Computer Simulation Using Bayesian Model Averaging [C] . I. Park, R. Grandhi AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference . 2010

机译：贝叶斯模型平均量化计算机仿真多种不确定性的定量
5. Bayesian Uncertainty Quantification of Computer Models with Efficient Calibration and Computation [D] . Kejzlar, Vojtech. 2020

机译：高效校准和计算计算机模型的贝叶斯不确定性量化
6. How robust are the estimated effects of air pollution on health? Accounting for model uncertainty using Bayesian model averaging [O] . Francesca Pannullo, Duncan Lee, Eugene Waclawski, -1

机译：空气污染对健康的估计影响有多强？使用贝叶斯模型平均法考虑模型不确定性
7. Quantifying and Reducing Model-Form Uncertainties in Reynolds-Averaged Navier-Stokes Simulations: A Data-Driven, Physics-Based Bayesian Approach [O] . Xiao, H., Wu, J. -L., Wang, J. -X., 2016

机译：量子化和降低雷诺平均模型不确定性 Navier-stokes模拟：数据驱动，基于物理的贝叶斯方法

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