Are We Missing the Target? A Bias-Variance Perspective on Multi-Hazard Risk Assessment
Keyword(s):
This paper presents a generalization of the bias-variance tradeoff applied to the recent trend toward natural multi-hazard risk assessment. The bias-variance dilemma, a well-known machine learning theory, is presented in the context of natural hazard modeling. It is then argued that the bias-variance statistical concept can provide an analytical framework for the necessity to direct efforts toward systemic risk assessment using multi-hazard catastrophe modeling and inform future mitigation practices.
Keyword(s):
1984 ◽
Vol 9
(1)
◽
pp. 57-128
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Keyword(s):
1984 ◽
Vol 9
(S1)
◽
pp. 57-128
◽
Keyword(s):
2019 ◽
Vol 4
(4)
◽
pp. 137-151
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Keyword(s):
2006 ◽
Vol 15
(4)
◽
pp. 636-648
◽
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Keyword(s):