globalchange  > 影响、适应和脆弱性
DOI: 10.1002/wcc.47
Scopus记录号: 2-s2.0-79956275442
论文题名:
Bayesian approaches to detection and attribution
作者: Annan J; D
刊名: Wiley Interdisciplinary Reviews: Climate Change
ISSN: 17577780
出版年: 2010
卷: 1, 期:4
起始页码: 486
结束页码: 489
语种: 英语
英文关键词: Bayesian networks ; Bayesian alternatives ; Bayesian approaches ; Bayesian paradigm ; Detection and attributions ; Frequentist ; Climate change
英文摘要: We consider the Bayesian alternative to the classical frequentist approach to detection and attribution of climate change. Some of the notable advantages of the Bayesian paradigm include a more consistent approach to competing hypotheses, a coherent interpretation of all available data, and an intuitively natural interpretation of the results. © 2010 John Wiley & Sons, Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76583
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Research Institute for Global Change/Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan

Recommended Citation:
Annan J,D. Bayesian approaches to detection and attribution[J]. Wiley Interdisciplinary Reviews: Climate Change,2010-01-01,1(4)
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