Nonparametric direct mapping of rainfall‐runoff relationships: An alternative approach to data analysis and modeling?

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A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources (2019, background): “, Iorgulescu and Beven [42], who are perhaps the first authors to cite Breiman [1] in a water resources journal, but then decide to use single decision trees instead of random forests in their rainfall-runoff application, because the former are more interpretable, albeit less skillful.”
On the colour and spin of epistemic error (and what we might do about it) (2011, background): “This has been the subject of much discussion in the past, with a range of positions from the pure (even if Bayesian) probabilistic views of, for example, O’Hagan and Oakley(2004), Goldstein and Rougier (2004), Mantovan and Todini(2006), Stedinger et al.”