Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to significantly reduce the variance of statistical estimators while preserving bias highest-fidelity model, provided that low-fidelity models are well correlated. However, maintaining a high level correlation can be challenging, especially when depend on different input uncertain parameters, which drastically ...