 This can be performed rigorously for random variables that are obtainable as transformations of Gaussian variables, leading to exact confidence intervals.In regression analysis and least squares problems, the standard error of parameter estimates is readily available, which can be expanded into a confidence interval.Several methodologies for inverse uncertainty quantification exist under the Bayesian framework.