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We examine the utility of a generalised, non-Gaussian Karhunen–Loéve expansion in nuclear engineering applications. This is useful because in many situations the joint probability distribution function of the random variables of interest is unobtainable, whereas the marginals and covariance functions can generally be found. Given these priors, we follow and expand upon the work of other authors to...
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