Effects of error covariance structure on estimation of model averaging weights and predictive performance
Dan Lu(Zhejiang University of Technology), Steven B. Yabusaki(Pacific Northwest National Laboratory), Xufeng Niu(Florida State University), Gary P. Curtis(United States Geological Survey), Ming Ye(Florida State University), Xiaoqing Shi(Nanjing University), Philip D. Meyer(Pacific Northwest National Laboratory)
Cited by 44
Related Papers
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
|Journal of Hydrology|2018|824
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
|Journal of Hydrology|2015|665
Towards a comprehensive assessment of model structural adequacy
|Water Resources Research|2012|493
Spatiotemporal variations of hydrogeochemistry and its controlling factors in the Gandaki River Basin, Central Himalaya Nepal
|The Science of The Total Environment|2017|283
On model selection criteria in multimodel analysis
|Water Resources Research|2008|264