Bayesian prediction of earthquake network based on space-time influence domain
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- 作者：Ya Zhang ; Hai Zhao ; Xuan He ; hexuan19860627@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Fan-Dong Pei ; Guang-Guang Li
- 关键词：Earthquake networks ; Complex networks ; Bayesian networks ; Prediction ; Parameters learning ; Inference
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：1 March 2016
- 年：2016
- 卷：445
- 期：Complete
- 页码：138-149
- 全文大小：1356 K
文摘
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Bayesian theory is first introduced to the study of earthquake network.
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The earthquake network is simplified to be a Bayesian network.
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The cases designed consider the time influence scope of each event.
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The results show that the success rate of the prediction is about 65%.
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In particular, the predictions for some nodes have high rate of accuracy.