A Bayesian Network Riverine Model Study
Document Type
Article
Publication Date
12-1-2011
Department
Geography and Geology
Abstract
In this paper we apply a Bayesian Network Methodology to a riverine model study. We show that continuous variables, following Ebert-Uphoff’s method, would improve this model, and we modify an existing share-ware Bayesian Network to simulate continuous variables. We also present a new metric for the Bayesian Network.
Publication Title
Lecture Notes in Computer Science
Volume
7076
First Page
452
Last Page
459
Recommended Citation
Spansel, S.,
Perkins, L.,
Yenduri, S.,
Holt, D.
(2011). A Bayesian Network Riverine Model Study. Lecture Notes in Computer Science, 7076, 452-459.
Available at: https://aquila.usm.edu/fac_pubs/15898