气候变化领域集成服务门户(CCPortal): A comprehensive review of Bayesian statistics in natural hazards engineering

CCPortal

DOI	10.1007/s11069-021-04729-2
	A comprehensive review of Bayesian statistics in natural hazards engineering
	Zheng Y.; Xie Y.; Long X.
发表日期	2021
ISSN	0921030X
起始页码	63
结束页码	91
卷号	108 期号:1
英文摘要	This study conducts a comprehensive review of the promises and challenges of implementing Bayesian statistics in natural hazards engineering. The reviewed natural hazards include earthquakes, floods, extreme wind events, wildfires, and landslides and debris flows. An attributes matrix is developed under each hazard to analyze each study based on its associated scale of analysis, topic area, Bayesian method, and data resource. In particular, the state-of-the-art survey elaborates the level of involvement for three categories of Bayesian methods, such as Bayesian model updating, Bayesian network, and Bayesian neural network, in the topic areas of hazard analysis, risk assessment, and structural health monitoring. In general, the existing research in natural hazards engineering is benefited by leveraging Bayesian statistics to handle uncertainties explicitly and deal with large-scale problems that involve different types of data inputs. However, the substantial computational cost and the determination of prior probability distributions are two major challenges bottlenecking the future development of Bayesian statistics. Compared with machine learning, Bayesian approaches offer more transparent model inference and exhibit different abilities to avoid data over fitting. This reviewed work can serve as a sound reference for interested practitioners and researchers to practice, develop, and promote broader and more in-depth Bayesian advances in solving grand challenges in natural hazards engineering. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Bayesian model updating Bayesian network Bayesian neural network Hazard analysis Natural hazards Risk assessment
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206724
作者单位	Department of Civil Engineering, McGill University, Montreal, QC H3A 0C3, Canada
推荐引用方式 GB/T 7714	Zheng Y.,Xie Y.,Long X.. A comprehensive review of Bayesian statistics in natural hazards engineering[J],2021,108(1).
APA	Zheng Y.,Xie Y.,&Long X..(2021).A comprehensive review of Bayesian statistics in natural hazards engineering.Natural Hazards,108(1).
MLA	Zheng Y.,et al."A comprehensive review of Bayesian statistics in natural hazards engineering".Natural Hazards 108.1(2021).