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Avalanche Forecasting: Using Bayesian Additive Regression Trees (BART)

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

Abstract

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.

Keywords

Markov Chain Monte Carlo Terminal Node Guard Station Road Closure Avalanche Hazard 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Abromeit D (2004) United States military for avalanche control program: a short history in time. In: Proceedings of the international symposium on snow monitoring and avalanchesGoogle Scholar
  2. Blattenberger G, Fowles R (1994) Road closure: combining data and expert opinion. In: Gatsonis et al. (eds.) Case studies in bayesian statistics, Springer, New YorkGoogle Scholar
  3. Blattenberger G, Fowles R (1995) Road closure to mitigate avalanche danger: a case study for little Cottonwood canyon. Int J Forecast 11:159–174CrossRefGoogle Scholar
  4. Bowles D, Sandahl B (1988) Avalanche hazard index for highway 210—little Cottonwood Canyon mile 5.4–13.1. mimeographedGoogle Scholar
  5. Chipman H, George EI, McCulloch RE (1998) Bayesian CART model search. J Am Stat Assoc 93(443):935–948CrossRefGoogle Scholar
  6. Chipman H, George EI, McCulloch RE (2009) BART: bayesian additive regression trees, http://CRAN.R-project.org/package=BayesTree
  7. Chipman H, George EI, McCulloch RE (2010a) BART: bayesian additive regression trees. Ann Appl Stat 4:266–298CrossRefGoogle Scholar
  8. Chipman H, George EI, Lemp J, McCulloch RE (2010b) Bayesian flexible modeling of trip durations. Transp Res Part B 44:686–698CrossRefGoogle Scholar
  9. LaChapelle ER (1980) Fundamental processes in conventional avalanche forecasting. J Glaciol 26:75–84Google Scholar
  10. Perla R (1970) On contributory in avalanche hazard evaluation. Can Geotech J 7:414–419Google Scholar
  11. Perla R (1991) Five problems in avalanche research. In: CSSA symposiumGoogle Scholar

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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