Abstract:A Julia language (Bezanson et al., 2017) package providing practical and modular implementation of "Calibrate, Emulate, Sample" (Cleary et al., 2021), hereafter CES, an accelerated workflow for obtaining model parametric uncertainty is presented. This is also known as Bayesian inversion or uncertainty quantification. To apply CES one requires a computer model (written in any programming language) dependent on free parameters, a prior distribution encoding some prior knowledge about the distribution over the fr… Show more
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