Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/113753
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Type: Journal article
Title: Predicting water allocation trade prices using a hybrid Artificial Neural Network-Bayesian modelling approach
Author: Nguyen-ky, T.
Mushtaq, S.
Loch, A.
Reardon-Smith, K.
An-Vo, D.
Ngo-Cong, D.
Tran-Cong, T.
Citation: Journal of Hydrology, 2018; 567:781-791
Publisher: Elsevier BV
Issue Date: 2018
ISSN: 0022-1694
1879-2707
Statement of
Responsibility: 
Tai Nguyen-ky, Shahbaz Mushtaq, Adam Loch, Kate Reardon-Smith, Duc-Anh An-Vo, Duc Ngo-Cong, Thanh Tran-Cong
Keywords: Water allocation prices; artificial Neural Network model; hybrid Artificial Neural Network-Bayesian; model; water trade; price prediction
Rights: © 2017 Elsevier B.V. All rights reserved.
RMID: 0030079280
DOI: 10.1016/j.jhydrol.2017.11.049
Grant ID: http://purl.org/au-research/grants/arc/DE150100328
Appears in Collections:Global Food Studies publications

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