Development and uncertainty assessment of pedotransfer functions for predicting water contents at specific pressure heads

Ali Mehmandoostkotlar, Quirijn De Jong Van Lier, Bo V Iversen, Alexandre Barros & Harry Vereecken
There has been much effort to improve the performance of pedotransfer functions (PTFs) using intelligent algorithms, but the issue of covariate shift, i.e. different probability distributions in training and testing datasets, and its impact on prediction uncertainty of PTFs has been rarely addressed. The common practice in PTF generation is to randomly separate the dataset in training and testing subsets, and outcomes of this random selection may be different if the process is subject to...
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