Avalanche Forecasting: Using Bayesian Additive Regression Trees (BART)

Part of the The Economics of Information, Communication, and Entertainment book series (ECOINFORM)


During the ski season, professional avalanche forecasters working for the Utah Department of Transportation (UDOT) monitor one of the most dangerous highways in the world. These forecasters continually evaluate the risk of avalanche activity and make road closure decisions.


Markov Chain Monte Carlo Terminal Node Guard Station Road Closure Avalanche Hazard 
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.University of UtahSalt LakeUSA
  2. 2.University of UtahSalt LakeUSA

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