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Uncertainty quantification in machining deformation based on Bayesian network
1 references·1 citing·9 second hop
Uncertainty quantification in machining deformation based on Bayesian network (2020)Uncertainty quantification in machining d…A Bayesian approach for quantification of model uncertainty (2010)A Bayesian approach for quant…Uncertainty Quantification and Optimal Robust Design for Machining Operations (2022)Uncertainty Quantification an…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)A Framework for Validation of Computer Models (2007)Selection of model discrepancy priors in Bayesian calibration (2014)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Adaptive explicit decision functions for probabilistic design and optimization using support vector machines (2008)Stochastic Kriging for Simulation Metamodeling (2009)Worst-Case Conditional Value-at-Risk with Application to Robust Portfolio Management (2009)
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References

  • 2010A Bayesian approach for quantification of model uncertainty149 cited

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  • 2022Uncertainty Quantification and Optimal Robust Design for Machining Operations11 cited

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