Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context

Published:2018-02-26 Issue:9 Volume:21 Page:1146-1161
ISSN:1366-9877
Container-title:Journal of Risk Research
language:en
Short-container-title:Journal of Risk Research

Author:

Hanea A. M.¹,Nane G. F.²,Wielicki B. A.³,Cooke R. M.⁴

Affiliation:

1. Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Melbourne, Australia.

2. Department of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.

3. NASA Langley Research Center, Hampton, VA, USA.

4. Resources for the Future, Washington, DC, USA.

Publisher

Informa UK Limited

Subject

Strategy and Management,General Social Sciences,General Engineering,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/13669877.2018.1437059

Reference20 articles.

1. Further development of a Causal model for Air Transport Safety (CATS): Building the mathematical heart

2. Environmental Ethics and Science Policy Series;Cooke R.,1991

3. Using the social cost of carbon to value earth observing systems

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Global Competitiveness Index 4.0 through the lens of country risk;Technological Forecasting and Social Change;2023-11

2. Network-based risk assessment of country-level sustainable development goals;Environmental Impact Assessment Review;2023-03

3. Nexus between drivers of COVID-19 and country risks;Socio-Economic Planning Sciences;2023-02

4. Adoption of a probabilistic network model investigating country risk drivers that influence logistics performance indicators;Environmental Impact Assessment Review;2022-05

5. Impact assessment of country risk on logistics performance using a Bayesian Belief Network model;Kybernetes;2022-01-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3