Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27355
Appears in Collections:Law and Philosophy Journal Articles
Peer Review Status: Refereed
Title: Bayesian reasoning in avalanche terrain: a theoretical investigation
Author(s): Ebert, Philip
Keywords: Bayesian reasoning
avalanche decision-making
avalanche education
base-rate fallacy
snow science
risk management.
Issue Date: 1-Jan-2019
Date Deposited: 8-Jun-2018
Citation: Ebert P (2019) Bayesian reasoning in avalanche terrain: a theoretical investigation. Journal of Adventure Education and Outdoor Learning, 19 (1), pp. 84-95. https://doi.org/10.1080/14729679.2018.1508356
Abstract: In this article, I explore a Bayesian approach to avalanche decision-making. I mo- tivate this perspective by highlighting a version of the base-rate fallacy and show that a similar pattern applies to decision-making in avalanche-terrain. I then draw out three theoretical lessons from adopting a Bayesian approach and discuss these lessons critically. Lastly, I highlight a number of challenges for avalanche educators when incorporating the Bayesian perspective in their curriculum.
DOI Link: 10.1080/14729679.2018.1508356
Rights: © 2018 Institute for Outdoor Learning This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

Files in This Item:
File Description SizeFormat 
Bayesian reasoning in avalanche terrain a theoretical investigation.pdfFulltext - Published Version1.28 MBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.