Bayesian techniques for engineering problems. which rely on Gaussian process (GP) regression. are known for their ability to quantify epistemic and aleatory uncertainties and for being data efficient. The mathematical elegance of applying these methods usually comes at a high computational cost when compared to deterministic and empirical Bayesian methods. https://www.roneverhart.com/MagnaFlow-2009-2011-Buick-Lucerne-OEM-Grade-Federal-EPA-Compliant-Direct-Fit-Catalytic-Converter/