Linking structural equation modeling with Bayesian network and its application to coastal phytoplankton dynamics in the Bohai Bay-Reference-Cited by-同舟云学术

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Linking structural equation modeling with Bayesian network and its application to coastal phytoplankton dynamics in the Bohai Bay

Published:2016-10 Issue:5 Volume:30 Page:733-748
ISSN:0890-5487
Container-title:China Ocean Engineering
language:en
Short-container-title:China Ocean Eng

Author:

Xu Xiao-fu,Sun Jian,Nie Hong-tao,Yuan De-kui,Tao Jian-hua

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Ocean Engineering,Renewable Energy, Sustainability and the Environment,Oceanography

Link

http://link.springer.com/content/pdf/10.1007/s13344-016-0047-1.pdf

Reference43 articles.

1. Alameddine, I., Cha, Y. K. and Reckhow, K. H., 2011. An evaluation of automated structure learning with bayesian networks: An application to estuarine chlorophyll dynamics, Environ. Modell. Softw., 26(2): 163–172.

2. Anderson, R. D. and Vastag, G., 2004. Causal modeling alternatives in operations research: Overview and application, Eur. J. Oper. Res., 156(1): 92–109.

3. Arhonditsis, G. B., Paerl, H. W., Valdesweaver, L. M., Stow, C. A., Steinberg, L. J. and Reckhow, K. H., 2007. Application of Bayesian structural equation modeling for examining phytoplankton dynamics in the Neuse River Estuary (North Carolina, USA), Estuarine, Coastal and Shelf Science, 72(1–2): 63–80.

4. Arhonditsis, G. B., Stow, C. A., Steinberg, L. J., Kenney, M. A., Lathrop, R. C., McBride, S. J. and Reckhow, K. H., 2006. Exploring ecological patterns with structural equation modeling and Bayesian analysis, Ecol. Model., 192(3–4): 385–409.

5. Barton, D. N., Saloranta, T., Moe, S. J., Eggestad, H. O. and Kuikka, S., 2008. Bayesian belief networks as a meta-modelling tool in integrated river basin management − Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin, Ecol. Econ., 66(1): 91–104.

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