書誌事項
- 公開日
- 2013-11-01
- DOI
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- 10.1214/13-sts439
- 10.48550/arxiv.1312.7712
- 公開者
- Institute of Mathematical Statistics
この論文をさがす
説明
Earthquakes occur because of abrupt slips on faults due to accumulated stress in the Earth's crust. Because most of these faults and their mechanisms are not readily apparent, deterministic earthquake prediction is difficult. For effective prediction, complex conditions and uncertain elements must be considered, which necessitates stochastic prediction. In particular, a large amount of uncertainty lies in identifying whether abnormal phenomena are precursors to large earthquakes, as well as in assigning urgency to the earthquake. Any discovery of potentially useful information for earthquake prediction is incomplete unless quantitative modeling of risk is considered. Therefore, this manuscript describes the prospect of earthquake predictability research to realize practical operational forecasting in the near future.
Published in at http://dx.doi.org/10.1214/13-STS439 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
収録刊行物
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- Statistical Science
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Statistical Science 28 (4), 521-, 2013-11-01
Institute of Mathematical Statistics
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キーワード
- FOS: Computer and information sciences
- Bayesian constraints
- FOS: Physical sciences
- Abnormal phenomena
- aseismic slip
- hierarchical space–time ETAS models
- probability forecasts
- probability gains
- Geophysics (physics.geo-ph)
- epidemic-type aftershock sequence (ETAS) models
- Physics - Geophysics
- Methodology (stat.ME)
- stress changes
- Statistics - Methodology
詳細情報 詳細情報について
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- CRID
- 1361699995841219584
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- ISSN
- 08834237
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- データソース種別
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- Crossref
- OpenAIRE