Bayesian Networks for the Uninitiated, with David Barton

bayes-theorem2
Bayes’ Theorem. Credit: Daniel Hjort, CC BY-NC-ND 2.0.

Baffled by Bayesian statistics? You’re not alone.

Join us as we speak with Dr. David Barton, Guest Editor of the special series “Bayesian Networks in Environmental and Resource Management,” to discuss the basics of Bayesian approaches in environmental management. The series is composed of seven case study articles, each of which applies the Bayesian network approach to environmental and resource management problems around the world. Access the series in the July 2012 issue of IEAM.

Podcast available on iTunes and YouTube

About the Guest
Barton_DavidDavid N. Barton holds a Ph.D. in Agricultural and Resource Economics from the Agricultural University of Norway (NLH), an M.Sc. in Ecological Economics from the National University of Costa Rica (UNA), and an M.Sc. in Economics and Business Administration from the Norwegian School of Economics and Business Administration (NHH).

His experience includes the use of environmental and resource economics in water resource management, sustainable harvesting of wetland resources, conservation management planning and environmental economic risk analysis. He has also specialized in the application of non-market valuation methods for environmental quality, decision analysis under uncertainty, and integrated ecological economic modeling.

David has worked on a number of international projects related to economic valuation methods and economic analysis of multiple use conflict in wetlands, and watershed and coastal resources in Norway, EU, Africa, China, India, and Central and South America.

Articles Referenced in this Podcast
Barton et al. 2012. Bayesian Networks in Environmental and Resource Management. IEAM 8#3:418-429.

Additional Resources
Software employed by the case studies in the series “Bayesian Networks in Environmental and Resource Management”

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