Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian Process, Part 2: Application to TRACE

A tutorial on adaptive MCMC

Christophe Andrieu, Johannes Thoms · Statistics and Computing · 2008 · 932 citations · Full text

Engineering, Machine Learning, Uncertainty Quantification +5

Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments

Peter Z. G. Qian, Changbao Wu · Technometrics · 2008 · 331 citations

Bayesian Statistic, Engineering, Markov Chain Monte Carlo +18

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory

Xu Wu, Tomasz Kozłowski, Hadi Meidani et al. · Nuclear Engineering and Design · 2018 · 126 citations · Full text

Part 1, Uncertainty Quantification, Gaussian Process +8

The Best Estimate Plus Uncertainty (BEPU) approach in licensing of current nuclear reactors

F. D’Auria, C. Camargo, O. Mazzantini · Nuclear Engineering and Design · 2012 · 109 citations

Best Estimate, Current Nuclear Reactors, Engineering +9

Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data

Xu Wu, Tomasz Kozłowski, Hadi Meidani · Reliability Engineering & System Safety · 2017 · 75 citations

Engineering, Data Science, Measurement +8