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• W3185081407 abstract "Analyses of groundwater flow and transport typically rely on a single conceptual model of site hydrogeology. Yet hydrogeological environ­ ments are open and complex, rendering them prone to multiple interpretations. Adopting only one of these may lead to statistical bias and underestimation of uncertainty. A comprehensive strategy for constructing alternative conceptual- mathematical models, selecting the best among them, and using them jointly to render optimum predictions under uncertainty is being developed by the author. This paper proposes a maximum likelihood Bayesian model averaging approach, MLBMA, to rendering optimum predictions by means of several competing models and assessing their joint predictive uncertainty." @default.
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• W3185081407 date "2002-12-01" @default.
• W3185081407 modified "2023-09-27" @default.
• W3185081407 title "Accounting for conceptual model uncertainty via maximum likelihood Bayesian model averaging" @default.
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