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Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and
  Application in Nuclear System Thermal-Hydraulics Codes

Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes

26 May 2023
Chen Wang
Xu Wu
T. Kozłowski
ArXivPDFHTML

Papers citing "Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes"

3 / 3 papers shown
Title
Deep Representation Learning for Multi-functional Degradation Modeling
  of Community-dwelling Aging Population
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
Suiyao Chen
Xinyi Liu
Yulei Li
Jing Wu
Handong Yao
42
5
0
08 Apr 2024
ReConTab: Regularized Contrastive Representation Learning for Tabular
  Data
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen
Jing Wu
N. Hovakimyan
Handong Yao
39
33
0
28 Oct 2023
Towards Improving the Predictive Capability of Computer Simulations by
  Integrating Inverse Uncertainty Quantification and Quantitative Validation
  with Bayesian Hypothesis Testing
Towards Improving the Predictive Capability of Computer Simulations by Integrating Inverse Uncertainty Quantification and Quantitative Validation with Bayesian Hypothesis Testing
Ziyu Xie
Farah Alsafadi
Xu Wu
11
9
0
02 May 2021
1